{"id":3948,"date":"2013-05-01T11:00:51","date_gmt":"2013-05-01T11:00:51","guid":{"rendered":"http:\/\/www.eltweekly.com\/elt-newsletter\/?p=3948"},"modified":"2013-05-01T11:00:51","modified_gmt":"2013-05-01T11:00:51","slug":"hypothesis-testing-of-cochrans-q-test-and-z-test-on-10-most-frequently-mispronounced-words-of-mewari-esl-learners-in-rajasthan-by-asif-iqbal","status":"publish","type":"post","link":"https:\/\/eltweekly.humbeestudio.xyz\/?p=3948","title":{"rendered":"&#8216;Hypothesis Testing of Cochran\u2019s Q Test and z- test on 10 most frequently mispronounced words of Mewari ESL Learners in Rajasthan&#8217; by Asif Iqbal"},"content":{"rendered":"<p><span style=\"color: #000000;\"><strong>Abstract<\/strong><\/span><\/p>\n<p><span style=\"color: #000000;\">Mispronunciation of English words is a common problem among second language learners and this paper highlights the common problems that students face be it in terms of phonemic awareness or the feeling of inferiority.\u00a0<\/span><span style=\"color: #000000;\">This paper is part of the interdisciplinary research study that was carried out on fifty commonly mispronounced words in region of Mewar i.e. Bhilwara, Rajsamand, Chittaurgarh and Udaipur. It identifies the ten most mispronounced words in the region of Mewar gender-wise, region-wise and further looks into the frequency of mispronunciations of second language learners in Mewar. It also provides insight into problems of language acquisition by Indian second language learners in their day to day lives.<!--more--><\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>Introduction<\/strong><\/span><\/p>\n<p><span style=\"color: #000000;\">Hypothesis testing or significance testing is a method for testing a claim or hypothesis about a parameter in a population using data gathered in a sample. In this paper we will discuss some hypothesis by determining the likelihood that a sample statistic could have been selected if the hypothesis regarding the population parameter were true.<\/span><\/p>\n<p><span style=\"color: #000000;\">According to Rajasthan Pre-Engineering Test RPET-2012, conducted by Board of Technical Education, Government of Rajasthan, the Mewar region had a total number of 18 government approved and private engineering colleges in 2012. The total student intake capacity of government and private engineering colleges was not more than 6616. A total of number 1102 respondents comprising of 698 males and 404 females were selected were selected randomly to fill out Questionnaire 1 and 2. Finally they were asked to select the 10 most mispronounced words in Mewar from a compiled list of fifty frequently mispronounced words. (Table 1.1)<\/span><\/p>\n<p><span style=\"color: #000000;\"><b>Student Intake Capacity, Sample size and respondents in Mewar (Rajasthan)<\/b><\/span><\/p>\n<div align=\"center\">\n<table width=\"590\" border=\"0\" cellspacing=\"0\" cellpadding=\"0\">\n<tbody>\n<tr>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"32\"><span style=\"color: #000000;\"><b>Sl.<\/b><\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"83\"><span style=\"color: #000000;\"><b>\u00a0<\/b><\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"75\"><span style=\"color: #000000;\"><b>Abb.<\/b><\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"75\"><span style=\"color: #000000;\"><b>Bhilwara<\/b><\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"101\"><span style=\"color: #000000;\"><b>Chittaurgarh<\/b><\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"92\"><span style=\"color: #000000;\"><b>Rajsamand<\/b><\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"73\"><span style=\"color: #000000;\"><b>Udaipur<\/b><\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"59\"><span style=\"color: #000000;\"><b>Mewar -Total<\/b><\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"32\"><span style=\"color: #000000;\">1<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"83\"><span style=\"color: #000000;\">No of Approved Institutions<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"75\"><span style=\"color: #000000;\"><b>NAI<\/b><\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"75\"><span style=\"color: #000000;\">2<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"101\"><span style=\"color: #000000;\">2<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"92\"><span style=\"color: #000000;\">2<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"73\"><span style=\"color: #000000;\">12<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"59\"><span style=\"color: #000000;\">18<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"32\"><span style=\"color: #000000;\">2<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"83\"><span style=\"color: #000000;\">Student Intake Capacity<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"75\"><span style=\"color: #000000;\"><b>SIC<\/b><\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"75\"><span style=\"color: #000000;\">919<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"101\"><span style=\"color: #000000;\">600<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"92\"><span style=\"color: #000000;\">660<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"73\"><span style=\"color: #000000;\">4437<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"59\"><span style=\"color: #000000;\">6616<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"32\"><span style=\"color: #000000;\">3<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"83\"><span style=\"color: #000000;\">Sample Size<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"75\"><span style=\"color: #000000;\"><b>SS<\/b><\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"75\"><span style=\"color: #000000;\">271<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"101\"><span style=\"color: #000000;\">234<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"92\"><span style=\"color: #000000;\">243<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"73\"><span style=\"color: #000000;\">354<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"59\"><span style=\"color: #000000;\">1102<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"32\"><span style=\"color: #000000;\">4<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"83\"><span style=\"color: #000000;\">No of respondents male<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"75\"><span style=\"color: #000000;\"><b>M<\/b><\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"75\"><span style=\"color: #000000;\">165<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"101\"><span style=\"color: #000000;\">177<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"92\"><span style=\"color: #000000;\">148<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"73\"><span style=\"color: #000000;\">208<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"59\"><span style=\"color: #000000;\">698<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"32\"><span style=\"color: #000000;\">5<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"83\"><span style=\"color: #000000;\">No of respondents female<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"75\"><span style=\"color: #000000;\"><b>F<\/b><\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"75\"><span style=\"color: #000000;\">106<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"101\"><span style=\"color: #000000;\">57<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"92\"><span style=\"color: #000000;\">95<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"73\"><span style=\"color: #000000;\">146<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"59\"><span style=\"color: #000000;\">404<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"32\"><span style=\"color: #000000;\">6<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"83\"><span style=\"color: #000000;\">Confidence Level<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"75\"><span style=\"color: #000000;\"><b>CL<\/b><\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"75\"><span style=\"color: #000000;\">95%<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"101\"><span style=\"color: #000000;\">95%<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"92\"><span style=\"color: #000000;\">95%<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"73\"><span style=\"color: #000000;\">95%<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"59\"><span style=\"color: #000000;\">95%<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"32\"><span style=\"color: #000000;\">7<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"83\"><span style=\"color: #000000;\">Confidence Interval<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"75\"><span style=\"color: #000000;\"><b>CI<\/b><\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"75\"><span style=\"color: #000000;\">5<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"101\"><span style=\"color: #000000;\">5.01<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"92\"><span style=\"color: #000000;\">5<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"73\"><span style=\"color: #000000;\">5<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"59\"><span style=\"color: #000000;\">5<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p style=\"text-align: center;\"><span style=\"color: #000000;\"><i>\u00a0<\/i><i>(Table 1.1) Student Intake Capacity, Sample size and respondents in Mewar (Rajasthan)<\/i><\/span><\/p>\n<p><span style=\"color: #000000;\">In order to deduce the 10 most frequently mispronounced words with respect to male and female mispronunciations in each of the four districts an effective online sample size calculator by Creative Research Systems for sample surveys was used to determine the sample size of the population in order to get the desired results that reflected the target population as precisely as needed in the research and measure the outcome with a 95% confidence level and 5 % confidence interval or margin of error. \u00a0\u00a0<\/span><\/p>\n<p><span style=\"color: #000000;\">Finally the raw data collected was fed into Microsoft Excel 2007 to analyze the outcome of such an experiment. Certain words tend to have a very high frequency of mispronunciation among second language learners due to their spelling, lack of phonemic knowledge or poor acquaintance with the English sounds while other words have a very low frequency of mispronunciation.<\/span><\/p>\n<p><span style=\"color: #000000;\"><b>1. Research Techniques<\/b><\/span><\/p>\n<p><span style=\"color: #000000;\">There are two separate techniques used for explaining the objectives of research:<\/span><\/p>\n<ol>\n<li><span style=\"color: #000000;\">PRAAT Analysis<\/span><\/li>\n<li><span style=\"color: #000000;\">Data Analysis<\/span><\/li>\n<\/ol>\n<p><span style=\"color: #000000;\">Under data analysis, the percentage method is used to find out the top ten mispronounced word, on the basis of district-wise and overall Mewar region study. From this list of top ten words in each district, further filtration was done for the top three words. The same process is repeated for showing the proportion of difference of the mispronunciation of words among the gender in the Mewar region. The result of the study is supported by setting a hypothesis and then using Cochran\u2019s Q test and Z-test for authentication.<\/span><\/p>\n<p><span style=\"color: #000000;\">The null hypothesis (H<sub>0<\/sub>) states that there is no difference in the population. The opposing hypothesis is the alternative hypothesis (H1), which asserts a particular difference in the population. The test statistic used is Cochran\u2019s Q test and Z-test.<\/span><\/p>\n<p><span style=\"color: #000000;\">As the data set is nominal with more than two variables which are dependent on the binary response: success (1) versus failure (0) Cochran\u2019s Q test was used to measure variables on the same individual or on matched individuals. In the research this test is used for the district-wise and overall study of Mewar region. A\u00a0z-test\u00a0is any\u00a0<a title=\"Statistics\" href=\"http:\/\/en.wikipedia.org\/wiki\/Statistics\"><span style=\"color: #000000;\">statistical<\/span><\/a>\u00a0<a title=\"Statistical hypothesis testing\" href=\"http:\/\/en.wikipedia.org\/wiki\/Statistical_hypothesis_testing\"><span style=\"color: #000000;\">test<\/span><\/a>\u00a0for which the\u00a0<a title=\"Probability distribution\" href=\"http:\/\/en.wikipedia.org\/wiki\/Probability_distribution\"><span style=\"color: #000000;\">distribution<\/span><\/a>\u00a0of the\u00a0<a title=\"Test statistic\" href=\"http:\/\/en.wikipedia.org\/wiki\/Test_statistic\"><span style=\"color: #000000;\">test statistic<\/span><\/a>\u00a0under the\u00a0<a title=\"Null hypothesis\" href=\"http:\/\/en.wikipedia.org\/wiki\/Null_hypothesis\"><span style=\"color: #000000;\">null hypothesis<\/span><\/a>\u00a0can be approximated by a\u00a0<a title=\"Normal distribution\" href=\"http:\/\/en.wikipedia.org\/wiki\/Normal_distribution\"><span style=\"color: #000000;\">normal distribution<\/span><\/a>. In the research this test is used for the difference of proportion in the words between the genders.<\/span><\/p>\n<p><span style=\"color: #000000;\">For feedback purposes, the assessment form also included a section where the assessor could note down the problems for each aspect. Speakers were evaluated with reference to each of the seven parameters outlined in the rating scale. An advanced PRAAT speech analysis software was used to determine the cause of mispronunciation of the speakers with respect to spectrum, intensity, pitch, formant, and map the differences between the native speaker and Mewari speaker.<\/span><\/p>\n<p><span style=\"color: #000000;\"><b>1.2 Aims of the Research: To ascertain<\/b><\/span><\/p>\n<ol start=\"1\">\n<li><span style=\"color: #000000;\">What are the top 10 mispronounced words for Mewar i.e. Bhilwara, Chittaurgarh, Rajsamand and Udaipur?<\/span><\/li>\n<li><span style=\"color: #000000;\">Among the top 10 what are the most common mispronounced words and least common mispronounced words in Mewar region?<\/span><\/li>\n<li><span style=\"color: #000000;\">Do residents and non residents of Mewar i.e. Bhilwara, Chittaurgarh, Rajsamand and Udaipur have the same mispronunciations?<\/span><\/li>\n<li><span style=\"color: #000000;\">What are the top 10 overall mispronounced words in Mewar?<\/span><\/li>\n<li><span style=\"color: #000000;\">What are the top 10 gender wise mispronounced words in Mewar region i.e. Bhilwara, Chittaurgarh, Rajsamand and Udaipur?<\/span><\/li>\n<li><span style=\"color: #000000;\">Among the top 10 what are the most common gender wise mispronounced words in Mewar region i.e. Bhilwara, Chittaurgarh, Rajsamand and Udaipur?<\/span><\/li>\n<li><span style=\"color: #000000;\">Does L1 (First language) affect the pronunciation of words in English?<\/span><\/li>\n<li><span style=\"color: #000000;\">How can language labs help students overcome their problem sounds in English?<\/span><\/li>\n<li><span style=\"color: #000000;\">How can language researchers and ELT benefit from such a study?<\/span><\/li>\n<\/ol>\n<p><span style=\"color: #000000;\"><b>1.3\u00a0 <\/b><b>Top 10 mispronounced words in district (Bhilwara)<\/b><\/span><\/p>\n<p><span style=\"color: #000000;\">The top 10 mispronounced words in district Bhilwara are (yacht-141), (tortoise-137), (chauffeur-135), (salmon-123), (Wednesday-103), (ewe-102), (wear-98), (bowl-94), (jewellery-93) and (bathe-92) respectively. (Fig. 1.1)<\/span><\/p>\n<p><a href=\"http:\/\/www.eltweekly.com\/elt-newsletter\/wp-content\/uploads\/2013\/05\/ELTWeekly_2013_1.png\"><img decoding=\"async\" class=\"aligncenter\" alt=\"ELTWeekly_2013_1\" src=\"http:\/\/www.eltweekly.com\/elt-newsletter\/wp-content\/uploads\/2013\/05\/ELTWeekly_2013_1-300x106.png\" width=\"300\" height=\"106\" \/><\/a><\/p>\n<p><span style=\"color: #000000;\"><i>(Fig. 1.1) Top ten mispronounced words in district Bhilwara (Rajasthan)<\/i><\/span><\/p>\n<p><span style=\"color: #000000;\"><b>1.4 Top 10 Gender wise mispronounced words in district (Bhilwara)<\/b><\/span><\/p>\n<p><span style=\"color: #000000;\">The top 10 gender-wise mispronounced words in district Bhilwara are \u2018all\u2019 (males=45, females=21), \u2018chauffeur\u2019 (males=70, females= 65), \u2018debt\u2019(males=46, females=45), \u2018ewe\u2019- (males=35, females= 67), \u2018lion\u2019- (males=35, females=40), \u2018salmon\u2019- (males=66, females=57), \u2018suite\u2019 &#8211; (males=53, females=28), \u2018sword\u2019- (males=40, females=33), \u2018yacht\u2019- (males=74, females=67), and \u2018zoology\u2019 &#8211; (males=64, females=18) respectively. (Fig. 1.2)<\/span><\/p>\n<p><a href=\"http:\/\/www.eltweekly.com\/elt-newsletter\/wp-content\/uploads\/2013\/05\/ELTWeekly_2013_2.png\"><img decoding=\"async\" class=\"aligncenter\" alt=\"ELTWeekly_2013_2\" src=\"http:\/\/www.eltweekly.com\/elt-newsletter\/wp-content\/uploads\/2013\/05\/ELTWeekly_2013_2-300x109.png\" width=\"300\" height=\"109\" \/><\/a><\/p>\n<p style=\"text-align: center;\"><span style=\"color: #000000;\"><i>(Fig. 1.2) Top ten <\/i><i>gender-wise <\/i><i>mispronounced words in Bhilwara (Rajasthan)<\/i><\/span><\/p>\n<p><span style=\"color: #000000;\"><b>1.4 Top 10 mispronounced words in district (Chittaurgarh)<\/b><\/span><\/p>\n<p><span style=\"color: #000000;\">The top 10 mispronounced words in district Chittaurgarh are (yacht-66), (ewe-62), (chauffeur-51), (school-51), (bowl-46), (sorry-45), (salmon-43), (bald-38), (debt-37), and (suite-37) respectively. (Fig. 1.3)<\/span><\/p>\n<p><a href=\"http:\/\/www.eltweekly.com\/elt-newsletter\/wp-content\/uploads\/2013\/05\/ELTWeekly_2013_3.png\"><img decoding=\"async\" class=\"aligncenter\" alt=\"ELTWeekly_2013_3\" src=\"http:\/\/www.eltweekly.com\/elt-newsletter\/wp-content\/uploads\/2013\/05\/ELTWeekly_2013_3-300x108.png\" width=\"300\" height=\"108\" \/><\/a><\/p>\n<p style=\"text-align: center;\"><span style=\"color: #000000;\">(Fig. 1.3) Top ten mispronounced words in district Chittaurgarh (Rajasthan)<\/span><\/p>\n<p><span style=\"color: #000000;\"><b>1.5\u00a0 <\/b><b>Top 10 Gender wise mispronounced words in district (Chittaurgarh)<\/b><\/span><\/p>\n<p><span style=\"color: #000000;\">The top 10 gender-wise mispronounced words in district Chittaurgarh are \u2018all\u2019- (males 25, females 0), \u2018chauffeur\u2019- (males 36, females 15), \u2018debt\u2019- (males 33, females 4), \u2018ewe\u2019- (males 43, females 19), \u2018lion\u2019- (males 33, females 0), \u2018salmon\u2019- (males 24, females 19), \u2018suite\u2019 &#8211; (males 33, females 4), \u2018sword\u2019- (males 31, females 0), \u2018yacht\u2019- (males 51, females 15), and \u2018zoology\u2019 &#8211; (males 28, females 0) respectively. (Fig. 5.1.4)<\/span><\/p>\n<p><a href=\"http:\/\/www.eltweekly.com\/elt-newsletter\/wp-content\/uploads\/2013\/05\/ELTWeekly_2013_3.png\"><img decoding=\"async\" class=\"aligncenter\" alt=\"ELTWeekly_2013_3\" src=\"http:\/\/www.eltweekly.com\/elt-newsletter\/wp-content\/uploads\/2013\/05\/ELTWeekly_2013_3-300x108.png\" width=\"300\" height=\"108\" \/><\/a><\/p>\n<p style=\"text-align: center;\"><span style=\"color: #000000;\"><i>(Fig. 5.1.4) Top ten <\/i><i>gender-wise <\/i><i>mispronounced words in Chittaurgarh (Rajasthan)<\/i><\/span><\/p>\n<p><span style=\"color: #000000;\"><b>Top 10 mispronounced words in district (Rajsamand)<\/b><\/span><\/p>\n<p><span style=\"color: #000000;\">The top 10 mispronounced words for district Rajsamand are (ewe-64), (school-64), (film-59), (lion-58), (all-56), (chauffeur-54), (yacht-53), (salmon-52), (debt-51), and (suite-48) respectively. (Fig. 5.1.5)<\/span><\/p>\n<p style=\"text-align: center;\"><a href=\"http:\/\/www.eltweekly.com\/elt-newsletter\/wp-content\/uploads\/2013\/05\/ELTWeekly_2013_4.png\"><img loading=\"lazy\" decoding=\"async\" alt=\"ELTWeekly_2013_4\" src=\"http:\/\/www.eltweekly.com\/elt-newsletter\/wp-content\/uploads\/2013\/05\/ELTWeekly_2013_4-300x105.png\" width=\"300\" height=\"105\" \/><\/a><\/p>\n<p style=\"text-align: center;\"><span style=\"color: #000000;\"><i>(Fig. 5.1.5) Top ten mispronounced words in district Rajsamand (Rajasthan)<\/i><\/span><\/p>\n<p><span style=\"color: #000000;\"><b>Top 10 Gender wise mispronounced words in district (Rajsamand)<\/b><\/span><\/p>\n<p><span style=\"color: #000000;\">The top 10 ten gender-wise mispronounced words in district Rajsamand are \u2018all\u2019- (males 36, females 20), \u2018chauffeur\u2019- (males 15, females 39), \u2018debt\u2019- (males 20, females 31), \u2018ewe\u2019- (males 35, females 29), \u2018lion\u2019- (males 24, females 34), \u2018salmon\u2019- (males 20, females 32), \u2018suite\u2019 &#8211; (males 31, females 17), \u2018sword\u2019- (males 16, females 24), \u2018yacht\u2019- (males 31, females 22), and \u2018zoology\u2019 &#8211; (males 23, females 10) respectively. (Fig. 5.1.6)<\/span><\/p>\n<p><a href=\"http:\/\/www.eltweekly.com\/elt-newsletter\/wp-content\/uploads\/2013\/05\/ELTWeekly_2013_5.png\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter\" alt=\"ELTWeekly_2013_5\" src=\"http:\/\/www.eltweekly.com\/elt-newsletter\/wp-content\/uploads\/2013\/05\/ELTWeekly_2013_5-300x105.png\" width=\"300\" height=\"105\" \/><\/a><\/p>\n<p style=\"text-align: center;\"><span style=\"color: #000000;\"><i>(Fig. 5.1.6) Top ten <\/i><i>gender-wise <\/i><i>mispronounced words in Rajsamand (Rajasthan)<\/i><\/span><\/p>\n<p><span style=\"color: #000000;\"><b>Top 10 mispronounced words in district (Udaipur)<\/b><\/span><\/p>\n<p><span style=\"color: #000000;\">The top 10 mispronounced words for district Udaipur are (chauffeur-131), (yacht-115), (all-104), (ewe-88), (shoe-77), (sword-77), (debt-74), (zoo-72), (salmon-69), and (law-62) respectively. (Fig. 5.1.7)<\/span><\/p>\n<p><a href=\"http:\/\/www.eltweekly.com\/elt-newsletter\/wp-content\/uploads\/2013\/05\/ELTWeekly_2013_6.png\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter\" alt=\"ELTWeekly_2013_6\" src=\"http:\/\/www.eltweekly.com\/elt-newsletter\/wp-content\/uploads\/2013\/05\/ELTWeekly_2013_6-300x112.png\" width=\"300\" height=\"112\" \/><\/a><\/p>\n<p style=\"text-align: center;\"><span style=\"color: #000000;\"><i>(Fig. 5.1.7) Top ten mispronounced words in district Udaipur (Rajasthan)<\/i><\/span><\/p>\n<p><span style=\"color: #000000;\"><b>Top 10 Gender wise mispronounced words in district (Udaipur)<\/b><\/span><\/p>\n<p><span style=\"color: #000000;\">The top 10 gender-wise mispronounced words in district Udaipur are \u2018all\u2019- (males 35, females 69), \u2018chauffeur\u2019- (males 40, females 91), \u2018debt\u2019- (males 28, females 46), \u2018ewe\u2019- (males 20, females 68), \u2018lion\u2019- (males 20, females 01), \u2018salmon\u2019- (males 24, females 45), \u2018suite\u2019 &#8211; (males 36, females 25), \u2018sword\u2019- (males 31, females 46), \u2018yacht\u2019- (males 47, females 68), and \u2018zoology\u2019 &#8211; (males 31, females 14) respectively. (Fig. 5.1.8)<\/span><\/p>\n<p><a href=\"http:\/\/www.eltweekly.com\/elt-newsletter\/wp-content\/uploads\/2013\/05\/ELTWeekly_2013_7.png\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter\" alt=\"ELTWeekly_2013_7\" src=\"http:\/\/www.eltweekly.com\/elt-newsletter\/wp-content\/uploads\/2013\/05\/ELTWeekly_2013_7-300x118.png\" width=\"300\" height=\"118\" \/><\/a><\/p>\n<p style=\"text-align: center;\"><span style=\"color: #000000;\">(Fig. 5.1.8) Top ten gender-wise mispronounced words in district Udaipur (Rajasthan)<\/span><\/p>\n<p><span style=\"color: #000000;\"><b>Top 10 mispronounced words in Mewar (Non-residents)<\/b><\/span><\/p>\n<p><span style=\"color: #000000;\">The top mispronounced words in Mewar (Non-residents) are (chauffeur-127), (ewe-123), (all-121), (yacht-120), (zoology-120), (lion-111), (school-108), (sword-101), (film-94), and (bathe-93) respectively. (Fig. 5.1.9)<\/span><\/p>\n<p><a href=\"http:\/\/www.eltweekly.com\/elt-newsletter\/wp-content\/uploads\/2013\/05\/ELTWeekly_2013_12.png\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter\" alt=\"ELTWeekly_2013_12\" src=\"http:\/\/www.eltweekly.com\/elt-newsletter\/wp-content\/uploads\/2013\/05\/ELTWeekly_2013_12-300x114.png\" width=\"300\" height=\"114\" \/><\/a><\/p>\n<p style=\"text-align: center;\"><span style=\"color: #000000;\">(Fig. 5.1.9) Top ten mispronounced words in Mewar (Non-residents)<\/span><\/p>\n<p><span style=\"color: #000000;\"><b>5.1.10 <\/b><b>Top 10 overall mispronounced words in Mewar (Rajasthan)<\/b><b><\/b><\/span><\/p>\n<p><span style=\"color: #000000;\">The top ten overall mispronounced words in Mewar are (chauffeur=45.19%), (yacht=44.92%), (ewe=39.84%), (salmon=34.03%), (all=33.76%), (debt=31.40%), (sword=29.22%), (zoology=27.95%), (suite=22.95%), and lion=27.31%) respectively.<\/span><\/p>\n<p><span style=\"color: #000000;\">Thus we can now safely conclude that except for \u2018suite\u2019 and \u2018zoology\u2019 all words are mispronounced differently. (Fig. 5.1.9)<\/span><\/p>\n<p><span style=\"color: #000000;\"><i>(Fig. 5.1.9) Top 10 overall mispronounced words in Mewar (Rajasthan)<\/i><\/span><\/p>\n<p><span style=\"color: #000000;\">The method of ranking has been used in (Table 5.1) and (Table 5.2) to find out the most frequent mispronounced words among the top ten words. The first four categories show the top 10 mispronounced words of each district of Mewar (i.e. Bhilwara, Rajsamand, Chittaurgarh and Udaipur) and the fifth category also show mispronounced words for respondents who do not belong to Mewar but are there for academic purpose i.e. (non-residents). Now each row has been assigned a number in the sixth column which denotes the rank of the word in the respective districts. (Table 5.1)\u00a0<\/span><\/p>\n<div align=\"center\">\n<table width=\"558\" border=\"1\" cellspacing=\"0\" cellpadding=\"0\">\n<tbody>\n<tr>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"92\"><span style=\"color: #000000;\"><b>BHILWARA<\/b><\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"100\"><span style=\"color: #000000;\"><b>RAJSAMAND<\/b><\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"122\"><span style=\"color: #000000;\"><b>CHITTAURGARH<\/b><\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"78\"><span style=\"color: #000000;\"><b>UDAIPUR<\/b><\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"91\"><span style=\"color: #000000;\"><b>NON RESIDENTS<\/b><\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"75\"><span style=\"color: #000000;\"><b>ANSWER<\/b><\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"92\"><span style=\"color: #000000;\">Yacht<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"100\"><span style=\"color: #000000;\">Ewe<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"122\"><span style=\"color: #000000;\">yacht<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"78\"><span style=\"color: #000000;\">chauffeur<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"91\"><span style=\"color: #000000;\">chauffeur<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"75\"><span style=\"color: #000000;\"><b>1<\/b><\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"92\"><span style=\"color: #000000;\">tortoise<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"100\"><span style=\"color: #000000;\">School<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"122\"><span style=\"color: #000000;\">ewe<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"78\"><span style=\"color: #000000;\">yacht<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"91\"><span style=\"color: #000000;\">ewe<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"75\"><span style=\"color: #000000;\"><b>2<\/b><\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"92\"><span style=\"color: #000000;\">chauffeur<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"100\"><span style=\"color: #000000;\">Film<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"122\"><span style=\"color: #000000;\">chauffeur<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"78\"><span style=\"color: #000000;\">all<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"91\"><span style=\"color: #000000;\">all<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"75\"><span style=\"color: #000000;\"><b>3<\/b><\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"92\"><span style=\"color: #000000;\">salmon<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"100\"><span style=\"color: #000000;\">Lion<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"122\"><span style=\"color: #000000;\">school<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"78\"><span style=\"color: #000000;\">ewe<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"91\"><span style=\"color: #000000;\">yacht<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"75\"><span style=\"color: #000000;\"><b>4<\/b><\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"92\"><span style=\"color: #000000;\">Wednesday<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"100\"><span style=\"color: #000000;\">All<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"122\"><span style=\"color: #000000;\">bowl<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"78\"><span style=\"color: #000000;\">shoe<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"91\"><span style=\"color: #000000;\">zoology<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"75\"><span style=\"color: #000000;\"><b>5<\/b><\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"92\"><span style=\"color: #000000;\">Ewe<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"100\"><span style=\"color: #000000;\">Chauffeur<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"122\"><span style=\"color: #000000;\">sorry<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"78\"><span style=\"color: #000000;\">sword<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"91\"><span style=\"color: #000000;\">lion<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"75\"><span style=\"color: #000000;\"><b>6<\/b><\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"92\"><span style=\"color: #000000;\">Wear<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"100\"><span style=\"color: #000000;\">Yacht<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"122\"><span style=\"color: #000000;\">salmon<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"78\"><span style=\"color: #000000;\">debt<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"91\"><span style=\"color: #000000;\">school<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"75\"><span style=\"color: #000000;\"><b>7<\/b><\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"92\"><span style=\"color: #000000;\">Bowl<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"100\"><span style=\"color: #000000;\">salmon<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"122\"><span style=\"color: #000000;\">bald<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"78\"><span style=\"color: #000000;\">zoo<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"91\"><span style=\"color: #000000;\">sword<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"75\"><span style=\"color: #000000;\"><b>8<\/b><\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"92\"><span style=\"color: #000000;\">jewellery<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"100\"><span style=\"color: #000000;\">Debt<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"122\"><span style=\"color: #000000;\">debt<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"78\"><span style=\"color: #000000;\">salmon<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"91\"><span style=\"color: #000000;\">film<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"75\"><span style=\"color: #000000;\"><b>9<\/b><\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"92\"><span style=\"color: #000000;\">Bathe<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"100\"><span style=\"color: #000000;\">Suite<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"122\"><span style=\"color: #000000;\">suite<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"78\"><span style=\"color: #000000;\">law<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"91\"><span style=\"color: #000000;\">bathe<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"75\"><span style=\"color: #000000;\"><b>10<\/b><\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p style=\"text-align: center;\"><span style=\"color: #000000;\"><i>\u00a0<\/i><i>(Table 1.2) Top ten mispronounced words in districts of Mewar<\/i><\/span><\/p>\n<p><span style=\"color: #000000;\">(Table 1.2) is derived from (Table 1.3) against which each word and their rank is written according to their district. The last column shows the mispronounced word occurring in all five categories. This filters down the top ten most mispronounced words to top three mispronounced words in Mewar region.in\u00a0 i.e. \u2018chauffeur\u2019, \u2018ewe\u2019 and \u2018yacht\u2019.<\/span><\/p>\n<table width=\"565\" border=\"1\" cellspacing=\"0\" cellpadding=\"0\">\n<tbody>\n<tr>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"85\"><span style=\"color: #000000;\">\u00a0<b>WORDS<\/b><\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"78\"><span style=\"color: #000000;\"><b>BHILWARA<\/b><\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"92\"><span style=\"color: #000000;\"><b>RAJSAMAND<\/b><\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"101\"><span style=\"color: #000000;\"><b>CHITTAURGARH<\/b><\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"66\"><span style=\"color: #000000;\"><b>UDAIPUR<\/b><\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"66\"><span style=\"color: #000000;\"><b>NON RESIDENTS<\/b><\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"78\"><span style=\"color: #000000;\"><b>HOW MANY DISTRICTS?<\/b><\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"85\"><span style=\"color: #000000;\">chauffeur<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"78\"><span style=\"color: #000000;\">3<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"92\"><span style=\"color: #000000;\">6<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"101\"><span style=\"color: #000000;\">3<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"66\"><span style=\"color: #000000;\">1<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"66\"><span style=\"color: #000000;\">1<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"78\"><span style=\"color: #000000;\">5<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"85\"><span style=\"color: #000000;\">ewe<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"78\"><span style=\"color: #000000;\">6<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"92\"><span style=\"color: #000000;\">1<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"101\"><span style=\"color: #000000;\">2<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"66\"><span style=\"color: #000000;\">4<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"66\"><span style=\"color: #000000;\">2<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"78\"><span style=\"color: #000000;\">5<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"85\"><span style=\"color: #000000;\">yacht<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"78\"><span style=\"color: #000000;\">1<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"92\"><span style=\"color: #000000;\">7<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"101\"><span style=\"color: #000000;\">1<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"66\"><span style=\"color: #000000;\">2<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"66\"><span style=\"color: #000000;\">4<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"78\"><span style=\"color: #000000;\">5<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"85\"><span style=\"color: #000000;\">salmon<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"78\"><span style=\"color: #000000;\">4<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"92\"><span style=\"color: #000000;\">8<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"101\"><span style=\"color: #000000;\">7<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"66\"><span style=\"color: #000000;\">9<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"66\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"78\"><span style=\"color: #000000;\">4<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"85\"><span style=\"color: #000000;\">all<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"78\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"92\"><span style=\"color: #000000;\">5<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"101\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"66\"><span style=\"color: #000000;\">3<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"66\"><span style=\"color: #000000;\">3<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"78\"><span style=\"color: #000000;\">3<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"85\"><span style=\"color: #000000;\">debt<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"78\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"92\"><span style=\"color: #000000;\">9<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"101\"><span style=\"color: #000000;\">9<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"66\"><span style=\"color: #000000;\">7<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"66\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"78\"><span style=\"color: #000000;\">3<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"85\"><span style=\"color: #000000;\">school<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"78\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"92\"><span style=\"color: #000000;\">2<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"101\"><span style=\"color: #000000;\">4<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"66\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"66\"><span style=\"color: #000000;\">7<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"78\"><span style=\"color: #000000;\">3<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"85\"><span style=\"color: #000000;\">bathe<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"78\"><span style=\"color: #000000;\">10<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"92\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"101\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"66\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"66\"><span style=\"color: #000000;\">10<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"78\"><span style=\"color: #000000;\">2<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"85\"><span style=\"color: #000000;\">bowl<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"78\"><span style=\"color: #000000;\">8<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"92\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"101\"><span style=\"color: #000000;\">5<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"66\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"66\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"78\"><span style=\"color: #000000;\">2<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"85\"><span style=\"color: #000000;\">film<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"78\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"92\"><span style=\"color: #000000;\">3<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"101\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"66\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"66\"><span style=\"color: #000000;\">9<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"78\"><span style=\"color: #000000;\">2<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"85\"><span style=\"color: #000000;\">lion<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"78\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"92\"><span style=\"color: #000000;\">4<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"101\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"66\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"66\"><span style=\"color: #000000;\">6<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"78\"><span style=\"color: #000000;\">2<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"85\"><span style=\"color: #000000;\">suite<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"78\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"92\"><span style=\"color: #000000;\">10<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"101\"><span style=\"color: #000000;\">10<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"66\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"66\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"78\"><span style=\"color: #000000;\">2<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"85\"><span style=\"color: #000000;\">sword<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"78\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"92\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"101\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"66\"><span style=\"color: #000000;\">6<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"66\"><span style=\"color: #000000;\">8<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"78\"><span style=\"color: #000000;\">2<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"85\"><span style=\"color: #000000;\">bald<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"78\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"92\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"101\"><span style=\"color: #000000;\">8<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"66\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"66\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"78\"><span style=\"color: #000000;\">1<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"85\"><span style=\"color: #000000;\">jewellery<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"78\"><span style=\"color: #000000;\">9<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"92\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"101\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"66\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"66\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"78\"><span style=\"color: #000000;\">1<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"85\"><span style=\"color: #000000;\">law<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"78\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"92\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"101\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"66\"><span style=\"color: #000000;\">10<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"66\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"78\"><span style=\"color: #000000;\">1<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"85\"><span style=\"color: #000000;\">shoe<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"78\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"92\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"101\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"66\"><span style=\"color: #000000;\">5<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"66\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"78\"><span style=\"color: #000000;\">1<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"85\"><span style=\"color: #000000;\">sorry<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"78\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"92\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"101\"><span style=\"color: #000000;\">6<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"66\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"66\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"78\"><span style=\"color: #000000;\">1<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"85\"><span style=\"color: #000000;\">tortoise<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"78\"><span style=\"color: #000000;\">2<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"92\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"101\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"66\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"66\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"78\"><span style=\"color: #000000;\">1<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"85\"><span style=\"color: #000000;\">wear<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"78\"><span style=\"color: #000000;\">7<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"92\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"101\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"66\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"66\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"78\"><span style=\"color: #000000;\">1<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"85\"><span style=\"color: #000000;\">Wednesday<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"78\"><span style=\"color: #000000;\">5<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"92\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"101\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"66\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"66\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"78\"><span style=\"color: #000000;\">1<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"85\"><span style=\"color: #000000;\">zoo<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"78\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"92\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"101\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"66\"><span style=\"color: #000000;\">8<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"66\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"78\"><span style=\"color: #000000;\">1<\/span><\/td>\n<\/tr>\n<tr>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"85\"><span style=\"color: #000000;\">Zoology<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"78\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"92\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"101\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"66\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"66\"><span style=\"color: #000000;\">5<\/span><\/td>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"78\"><span style=\"color: #000000;\">1<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><span style=\"color: #000000;\">(Table 1.3) Top ten ranking of mispronounced words in all districts of Mewar<\/span><\/p>\n<p><span style=\"color: #000000;\">Therefore, it can now be safely concluded that among the top 10 mispronounced words in Mewar for all the five categories are different except for \u2018chauffeur\u2019, \u2018ewe\u2019, \u2018yacht. The least mispronounced words in the region according to (Table 5.2) are \u2018bald\u2019, \u2018jewellery\u2019, \u2018law\u2019, \u2018shoe\u2019, \u2018sorry\u2019, \u2018tortoise\u2019, \u2018wear\u2019, \u2018Wednesday\u2019, \u2018zoo\u2019, and \u2018zoology\u2019.<\/span><\/p>\n<p><span style=\"color: #000000;\"><b>Hypotheses Testing for Top 10 Mispronounced words using Cochran\u2019s Q Test<\/b><\/span><\/p>\n<p><span style=\"color: #000000;\">Here the hypothesis is set to judge the behaviour of the mispronunciation across all words in Mewar region. We set Cochran\u2019s Q test.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/p>\n<p><span style=\"color: #000000;\">H<sub>0<\/sub>\u00a0\u00a0 : The behaviour of mis-pronunciation across all words is same<\/span><\/p>\n<p><span style=\"color: #000000;\">H<sub>1<\/sub>\u00a0\u00a0 : The behaviour of mis-pronunciation across all words is not same.<\/span><\/p>\n<div align=\"center\">\n<table width=\"432\" border=\"0\" cellspacing=\"0\" cellpadding=\"0\">\n<tbody>\n<tr>\n<td colspan=\"3\" width=\"168\"><span style=\"color: #000000;\"><b>Frequencies<\/b><\/span><\/td>\n<td width=\"56\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"top\" width=\"208\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td rowspan=\"2\" width=\"81\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td colspan=\"2\" width=\"87\"><span style=\"color: #000000;\">Value<\/span><\/td>\n<td width=\"56\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td valign=\"top\" width=\"208\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td width=\"43\"><span style=\"color: #000000;\">0<\/span><\/td>\n<td width=\"43\"><span style=\"color: #000000;\">1<\/span><\/td>\n<td width=\"56\"><span style=\"color: #000000;\">N<\/span><\/td>\n<td valign=\"top\" width=\"208\">\n<table width=\"194\" border=\"0\" cellspacing=\"0\" cellpadding=\"0\">\n<tbody>\n<tr>\n<td valign=\"bottom\" nowrap=\"nowrap\" width=\"194\"><span style=\"color: #000000;\"><b>PROPORTION OF MIS-PRONUNCIATION<\/b><\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td width=\"81\"><span style=\"color: #000000;\">chauffeur<\/span><\/td>\n<td width=\"43\"><span style=\"color: #000000;\">604<\/span><\/td>\n<td width=\"43\"><span style=\"color: #000000;\">498<\/span><\/td>\n<td width=\"56\"><span style=\"color: #000000;\">1102<\/span><\/td>\n<td valign=\"top\" width=\"208\"><span style=\"color: #000000;\"><b>45.19%<\/b><\/span><\/td>\n<\/tr>\n<tr>\n<td width=\"81\"><span style=\"color: #000000;\">yacht<\/span><\/td>\n<td width=\"43\"><span style=\"color: #000000;\">607<\/span><\/td>\n<td width=\"43\"><span style=\"color: #000000;\">495<\/span><\/td>\n<td width=\"56\"><span style=\"color: #000000;\">1102<\/span><\/td>\n<td valign=\"top\" width=\"208\"><span style=\"color: #000000;\"><b>44.92%<\/b><\/span><\/td>\n<\/tr>\n<tr>\n<td width=\"81\"><span style=\"color: #000000;\">ewe<\/span><\/td>\n<td width=\"43\"><span style=\"color: #000000;\">663<\/span><\/td>\n<td width=\"43\"><span style=\"color: #000000;\">439<\/span><\/td>\n<td width=\"56\"><span style=\"color: #000000;\">1102<\/span><\/td>\n<td valign=\"top\" width=\"208\"><span style=\"color: #000000;\"><b>39.84%<\/b><\/span><\/td>\n<\/tr>\n<tr>\n<td width=\"81\"><span style=\"color: #000000;\">salmon<\/span><\/td>\n<td width=\"43\"><span style=\"color: #000000;\">727<\/span><\/td>\n<td width=\"43\"><span style=\"color: #000000;\">375<\/span><\/td>\n<td width=\"56\"><span style=\"color: #000000;\">1102<\/span><\/td>\n<td valign=\"top\" width=\"208\"><span style=\"color: #000000;\"><b>34.03%<\/b><\/span><\/td>\n<\/tr>\n<tr>\n<td width=\"81\"><span style=\"color: #000000;\">all<\/span><\/td>\n<td width=\"43\"><span style=\"color: #000000;\">730<\/span><\/td>\n<td width=\"43\"><span style=\"color: #000000;\">372<\/span><\/td>\n<td width=\"56\"><span style=\"color: #000000;\">1102<\/span><\/td>\n<td valign=\"top\" width=\"208\"><span style=\"color: #000000;\"><b>33.76%<\/b><\/span><\/td>\n<\/tr>\n<tr>\n<td width=\"81\"><span style=\"color: #000000;\">debt<\/span><\/td>\n<td width=\"43\"><span style=\"color: #000000;\">756<\/span><\/td>\n<td width=\"43\"><span style=\"color: #000000;\">346<\/span><\/td>\n<td width=\"56\"><span style=\"color: #000000;\">1102<\/span><\/td>\n<td valign=\"top\" width=\"208\"><span style=\"color: #000000;\"><b>31.40%<\/b><\/span><\/td>\n<\/tr>\n<tr>\n<td width=\"81\"><span style=\"color: #000000;\">sword<\/span><\/td>\n<td width=\"43\"><span style=\"color: #000000;\">780<\/span><\/td>\n<td width=\"43\"><span style=\"color: #000000;\">322<\/span><\/td>\n<td width=\"56\"><span style=\"color: #000000;\">1102<\/span><\/td>\n<td valign=\"top\" width=\"208\"><span style=\"color: #000000;\"><b>29.22%<\/b><\/span><\/td>\n<\/tr>\n<tr>\n<td width=\"81\"><span style=\"color: #000000;\">suite<\/span><\/td>\n<td width=\"43\"><span style=\"color: #000000;\">794<\/span><\/td>\n<td width=\"43\"><span style=\"color: #000000;\">308<\/span><\/td>\n<td width=\"56\"><span style=\"color: #000000;\">1102<\/span><\/td>\n<td valign=\"top\" width=\"208\"><span style=\"color: #000000;\"><b>27.95%<\/b><\/span><\/td>\n<\/tr>\n<tr>\n<td width=\"81\"><span style=\"color: #000000;\">zoology<\/span><\/td>\n<td width=\"43\"><span style=\"color: #000000;\">794<\/span><\/td>\n<td width=\"43\"><span style=\"color: #000000;\">308<\/span><\/td>\n<td width=\"56\"><span style=\"color: #000000;\">1102<\/span><\/td>\n<td valign=\"top\" width=\"208\"><span style=\"color: #000000;\"><b>27.95%<\/b><\/span><\/td>\n<\/tr>\n<tr>\n<td width=\"81\"><span style=\"color: #000000;\">lion<\/span><\/td>\n<td width=\"43\"><span style=\"color: #000000;\">801<\/span><\/td>\n<td width=\"43\"><span style=\"color: #000000;\">301<\/span><\/td>\n<td width=\"56\"><span style=\"color: #000000;\">1102<\/span><\/td>\n<td valign=\"top\" width=\"208\"><span style=\"color: #000000;\"><b>27.31%<\/b><\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<table width=\"426\" border=\"0\" cellspacing=\"0\" cellpadding=\"0\" align=\"left\">\n<tbody>\n<tr>\n<td width=\"34\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td colspan=\"2\" valign=\"bottom\" width=\"392\"><span style=\"color: #000000;\"><b>Test Statistics<\/b><\/span><\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" valign=\"top\" width=\"300\"><span style=\"color: #000000;\">N<\/span><\/td>\n<td valign=\"bottom\" width=\"126\"><span style=\"color: #000000;\">1102<\/span><\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" valign=\"top\" width=\"300\"><span style=\"color: #000000;\">Cochran&#8217;s Q<\/span><\/td>\n<td valign=\"bottom\" width=\"126\"><span style=\"color: #000000;\">2.912E3<sup>a<\/sup><\/span><\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" valign=\"top\" width=\"300\"><span style=\"color: #000000;\">Df<\/span><\/td>\n<td valign=\"bottom\" width=\"126\"><span style=\"color: #000000;\">49<\/span><\/td>\n<\/tr>\n<tr>\n<td colspan=\"2\" valign=\"top\" width=\"300\"><span style=\"color: #000000;\">Asymp. Sig.<\/span><\/td>\n<td valign=\"bottom\" width=\"126\"><span style=\"color: #000000;\">0<\/span><\/td>\n<\/tr>\n<tr>\n<td width=\"34\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td colspan=\"2\" valign=\"top\" width=\"392\"><span style=\"color: #000000;\">a. 0 is treated as a success.<\/span><\/td>\n<\/tr>\n<tr>\n<td width=\"34\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td width=\"266\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td width=\"126\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><span style=\"color: #000000;\">\u00a0<\/span><\/p>\n<p><span style=\"color: #000000;\">\u00a0<\/span><\/p>\n<p><span style=\"color: #000000;\">\u00a0<\/span><\/p>\n<p><span style=\"color: #000000;\">\u00a0<\/span><\/p>\n<p><span style=\"color: #000000;\">(Table 5.3) Hypothesis Testing of Top 10 mispronounced words using Cochran Q test<\/span><\/p>\n<p><span style=\"color: #000000;\">Therefore, null hypothesis is rejected because the level of significance is less than (&lt;0.05). This concludes that the behaviour of mispronunciation across all words in Mewar region is not the same.<\/span><\/p>\n<p><span style=\"color: #000000;\"><b>Top 10 Gender wise mispronounced words in Mewar (Residents)<\/b><\/span><\/p>\n<p><span style=\"color: #000000;\">The top 10 gender-wise\u00a0 mispronounced words in Mewar according number of respondents are \u2018all\u2019- (males 251, females 121), \u2018chauffeur\u2019- (males 245, females 253), \u2018debt\u2019- (males 186, females 160), \u2018ewe\u2019- (males 236, females 203), \u2018lion\u2019- (males 173, females 128), \u2018salmon\u2019- (males 196, females 179), \u2018suite\u2019 &#8211; (males 222, females 86), \u2018sword\u2019- (males 184, females 138), \u2018yacht\u2019- (males 286, females 209), and \u2018zoology\u2019 &#8211; (males 233, females 75) respectively. (Fig. 5.1.11)<\/span><\/p>\n<p><a href=\"http:\/\/www.eltweekly.com\/elt-newsletter\/wp-content\/uploads\/2013\/05\/ELTWeekly_2013_11.png\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter\" alt=\"ELTWeekly_2013_11\" src=\"http:\/\/www.eltweekly.com\/elt-newsletter\/wp-content\/uploads\/2013\/05\/ELTWeekly_2013_11-300x104.png\" width=\"300\" height=\"104\" \/><\/a><\/p>\n<p style=\"text-align: center;\"><span style=\"color: #000000;\">(Fig. 5.1.11) Top ten Gender-wise mispronounced words in Mewar (Residents)<\/span><\/p>\n<p><span style=\"color: #000000;\"><b>Top 10 Gender wise mispronounced words in Mewar (Non-residents)<\/b><\/span><\/p>\n<p><span style=\"color: #000000;\">The top 10 gender-wise\u00a0 mispronounced words in Mewar (non residents) according to number of respondents are \u2018all\u2019- (males 110, females 11), \u2018chauffeur\u2019- (males 84, females 43), \u2018debt\u2019- (males 59, females 34), \u2018ewe\u2019- (males 103, females 20), \u2018lion\u2019- (males 58, females 53), \u2018salmon\u2019- (males 62, females 26), \u2018suite\u2019 &#8211; (males 69, females 12), \u2018sword\u2019- (males 66, females 35), \u2018yacht\u2019- (males 83, females 37), and \u2018zoology\u2019 &#8211; (males 87, females 33) respectively. (Fig. 5.1.12)<\/span><\/p>\n<p><a href=\"http:\/\/www.eltweekly.com\/elt-newsletter\/wp-content\/uploads\/2013\/05\/ELTWeekly_2013_9.png\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter\" alt=\"ELTWeekly_2013_9\" src=\"http:\/\/www.eltweekly.com\/elt-newsletter\/wp-content\/uploads\/2013\/05\/ELTWeekly_2013_9-300x106.png\" width=\"300\" height=\"106\" \/><\/a><\/p>\n<p style=\"text-align: center;\"><span style=\"color: #000000;\">(Fig. 5.1.12) Top 10 Gender-wise mispronounced words in Mewar (Non-residents)<\/span><\/p>\n<p><span style=\"color: #000000;\">Therefore, it can be safely concluded that among the top ten gender-wise\u00a0 mispronounced words for residents of Mewar, males tend to have a lower rate of mispronunciation than females for all words except \u2018lion\u2019, \u2018salmon\u2019, \u2018yacht\u2019 and \u2018zoology\u2019.<\/span><\/p>\n<p><span style=\"color: #000000;\">In contrast, among the top ten gender-wise mispronounced words for non-residents of Mewar, males tend to have a higher rate of mispronunciation for all words.<\/span><\/p>\n<p><span style=\"color: #000000;\"><b>Hypothesis Testing of Top 10 mispronounced words using z-test<\/b><\/span><\/p>\n<p><span style=\"color: #000000;\">A z-test is the most common method used to test the hypothesis about a population mean when the population variance is known. The z statistic formula is the sample mean minus the population mean stated in the null hypothesis, divided by the standard error of the mean. To make a decision we compare the obtained value to the critical value.<\/span><\/p>\n<p><span style=\"color: #000000;\">The hypothesis is set as follows<\/span><\/p>\n<p><span style=\"color: #000000;\">H<sub>0<\/sub> : The behaviour of mispronunciation of words is same across the gender<\/span><\/p>\n<p><span style=\"color: #000000;\">H<sub>1<\/sub> : The behaviour of mispronunciation of words is not same across the gender<\/span><\/p>\n<div align=\"center\">\n<table width=\"349\" border=\"0\" cellspacing=\"0\" cellpadding=\"0\">\n<tbody>\n<tr>\n<td rowspan=\"2\" width=\"119\"><span style=\"color: #000000;\">\u00a0Top ten words<\/span><\/td>\n<td colspan=\"2\" width=\"149\"><span style=\"color: #000000;\">Gender<\/span><\/td>\n<td width=\"81\"><span style=\"color: #000000;\">Total<\/span><\/td>\n<\/tr>\n<tr>\n<td width=\"65\"><span style=\"color: #000000;\">MALE<\/span><\/td>\n<td width=\"84\"><span style=\"color: #000000;\">FEMALE<\/span><\/td>\n<td width=\"81\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td width=\"119\"><span style=\"color: #000000;\">all<\/span><\/td>\n<td width=\"65\"><span style=\"color: #000000;\">251<\/span><\/td>\n<td width=\"84\"><span style=\"color: #000000;\">121<\/span><\/td>\n<td width=\"81\"><span style=\"color: #000000;\">372<\/span><\/td>\n<\/tr>\n<tr>\n<td width=\"119\"><span style=\"color: #000000;\">chauffeur<\/span><\/td>\n<td width=\"65\"><span style=\"color: #000000;\">245<\/span><\/td>\n<td width=\"84\"><span style=\"color: #000000;\">253<\/span><\/td>\n<td width=\"81\"><span style=\"color: #000000;\">498<\/span><\/td>\n<\/tr>\n<tr>\n<td width=\"119\"><span style=\"color: #000000;\">debt<\/span><\/td>\n<td width=\"65\"><span style=\"color: #000000;\">186<\/span><\/td>\n<td width=\"84\"><span style=\"color: #000000;\">160<\/span><\/td>\n<td width=\"81\"><span style=\"color: #000000;\">346<\/span><\/td>\n<\/tr>\n<tr>\n<td width=\"119\"><span style=\"color: #000000;\">ewe<\/span><\/td>\n<td width=\"65\"><span style=\"color: #000000;\">236<\/span><\/td>\n<td width=\"84\"><span style=\"color: #000000;\">203<\/span><\/td>\n<td width=\"81\"><span style=\"color: #000000;\">439<\/span><\/td>\n<\/tr>\n<tr>\n<td width=\"119\"><span style=\"color: #000000;\">lion<\/span><\/td>\n<td width=\"65\"><span style=\"color: #000000;\">173<\/span><\/td>\n<td width=\"84\"><span style=\"color: #000000;\">128<\/span><\/td>\n<td width=\"81\"><span style=\"color: #000000;\">301<\/span><\/td>\n<\/tr>\n<tr>\n<td width=\"119\"><span style=\"color: #000000;\">salmon<\/span><\/td>\n<td width=\"65\"><span style=\"color: #000000;\">196<\/span><\/td>\n<td width=\"84\"><span style=\"color: #000000;\">179<\/span><\/td>\n<td width=\"81\"><span style=\"color: #000000;\">375<\/span><\/td>\n<\/tr>\n<tr>\n<td width=\"119\"><span style=\"color: #000000;\">suite<\/span><\/td>\n<td width=\"65\"><span style=\"color: #000000;\">222<\/span><\/td>\n<td width=\"84\"><span style=\"color: #000000;\">86<\/span><\/td>\n<td width=\"81\"><span style=\"color: #000000;\">308<\/span><\/td>\n<\/tr>\n<tr>\n<td width=\"119\"><span style=\"color: #000000;\">sword<\/span><\/td>\n<td width=\"65\"><span style=\"color: #000000;\">184<\/span><\/td>\n<td width=\"84\"><span style=\"color: #000000;\">138<\/span><\/td>\n<td width=\"81\"><span style=\"color: #000000;\">322<\/span><\/td>\n<\/tr>\n<tr>\n<td width=\"119\"><span style=\"color: #000000;\">yacht<\/span><\/td>\n<td width=\"65\"><span style=\"color: #000000;\">286<\/span><\/td>\n<td width=\"84\"><span style=\"color: #000000;\">209<\/span><\/td>\n<td width=\"81\"><span style=\"color: #000000;\">495<\/span><\/td>\n<\/tr>\n<tr>\n<td width=\"119\"><span style=\"color: #000000;\">zoology<\/span><\/td>\n<td width=\"65\"><span style=\"color: #000000;\">233<\/span><\/td>\n<td width=\"84\"><span style=\"color: #000000;\">75<\/span><\/td>\n<td width=\"81\"><span style=\"color: #000000;\">308<\/span><\/td>\n<\/tr>\n<tr>\n<td width=\"119\"><span style=\"color: #000000;\">\u00a0Total gender wise respondents<\/span><\/td>\n<td width=\"65\"><span style=\"color: #000000;\">698<\/span><\/td>\n<td width=\"84\"><span style=\"color: #000000;\">404<\/span><\/td>\n<td width=\"81\"><span style=\"color: #000000;\">1102<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p style=\"text-align: center;\"><span style=\"color: #000000;\">\u00a0(Table 5.4) Top 10 Gender-wise Mispronounced words in Mewar<\/span><\/p>\n<div align=\"center\">\n<table width=\"395\" border=\"0\" cellspacing=\"0\" cellpadding=\"0\">\n<tbody>\n<tr>\n<td width=\"147\"><span style=\"color: #000000;\">Words<\/span><\/td>\n<td width=\"72\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td width=\"58\"><span style=\"color: #000000;\">Male<\/span><\/td>\n<td width=\"63\"><span style=\"color: #000000;\">Female<\/span><\/td>\n<td width=\"56\"><span style=\"color: #000000;\">Total<\/span><\/td>\n<\/tr>\n<tr>\n<td rowspan=\"2\" width=\"147\"><span style=\"color: #000000;\">all<\/span><\/td>\n<td width=\"72\"><span style=\"color: #000000;\">Count<\/span><\/td>\n<td width=\"58\"><span style=\"color: #000000;\">262<\/span><\/td>\n<td width=\"63\"><span style=\"color: #000000;\">122<\/span><\/td>\n<td width=\"56\"><span style=\"color: #000000;\">372<\/span><\/td>\n<\/tr>\n<tr>\n<td width=\"72\"><span style=\"color: #000000;\">% within Gender<\/span><\/td>\n<td width=\"58\"><span style=\"color: #000000;\">38.4%<\/span><\/td>\n<td width=\"63\"><span style=\"color: #000000;\">30.1%<\/span><\/td>\n<td width=\"56\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td rowspan=\"2\" width=\"147\"><span style=\"color: #000000;\">chauffeur<\/span><\/td>\n<td width=\"72\"><span style=\"color: #000000;\">Count<\/span><\/td>\n<td width=\"58\"><span style=\"color: #000000;\">245<\/span><\/td>\n<td width=\"63\"><span style=\"color: #000000;\">253<\/span><\/td>\n<td width=\"56\"><span style=\"color: #000000;\">498<\/span><\/td>\n<\/tr>\n<tr>\n<td width=\"72\"><span style=\"color: #000000;\">% within Gender<\/span><\/td>\n<td width=\"58\"><span style=\"color: #000000;\">37.5%<\/span><\/td>\n<td width=\"63\"><span style=\"color: #000000;\">62.9%<\/span><\/td>\n<td width=\"56\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td rowspan=\"2\" width=\"147\"><span style=\"color: #000000;\">debt<\/span><\/td>\n<td width=\"72\"><span style=\"color: #000000;\">Count<\/span><\/td>\n<td width=\"58\"><span style=\"color: #000000;\">186<\/span><\/td>\n<td width=\"63\"><span style=\"color: #000000;\">160<\/span><\/td>\n<td width=\"56\"><span style=\"color: #000000;\">346<\/span><\/td>\n<\/tr>\n<tr>\n<td width=\"72\"><span style=\"color: #000000;\">% within Gender<\/span><\/td>\n<td width=\"58\"><span style=\"color: #000000;\">28.5%<\/span><\/td>\n<td width=\"63\"><span style=\"color: #000000;\">39.8%<\/span><\/td>\n<td width=\"56\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td rowspan=\"2\" width=\"147\"><span style=\"color: #000000;\">ewe<\/span><\/td>\n<td width=\"72\"><span style=\"color: #000000;\">Count<\/span><\/td>\n<td width=\"58\"><span style=\"color: #000000;\">236<\/span><\/td>\n<td width=\"63\"><span style=\"color: #000000;\">203<\/span><\/td>\n<td width=\"56\"><span style=\"color: #000000;\">439<\/span><\/td>\n<\/tr>\n<tr>\n<td width=\"72\"><span style=\"color: #000000;\">% within Gender<\/span><\/td>\n<td width=\"58\"><span style=\"color: #000000;\">36.1%<\/span><\/td>\n<td width=\"63\"><span style=\"color: #000000;\">50.5%<\/span><\/td>\n<td width=\"56\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td rowspan=\"2\" width=\"147\"><span style=\"color: #000000;\">lion<\/span><\/td>\n<td width=\"72\"><span style=\"color: #000000;\">Count<\/span><\/td>\n<td width=\"58\"><span style=\"color: #000000;\">184<\/span><\/td>\n<td width=\"63\"><span style=\"color: #000000;\">129<\/span><\/td>\n<td width=\"56\"><span style=\"color: #000000;\">301<\/span><\/td>\n<\/tr>\n<tr>\n<td width=\"72\"><span style=\"color: #000000;\">% within Gender<\/span><\/td>\n<td width=\"58\"><span style=\"color: #000000;\">26.5%<\/span><\/td>\n<td width=\"63\"><span style=\"color: #000000;\">31.8%<\/span><\/td>\n<td width=\"56\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td rowspan=\"2\" width=\"147\"><span style=\"color: #000000;\">salmon<\/span><\/td>\n<td width=\"72\"><span style=\"color: #000000;\">Count<\/span><\/td>\n<td width=\"58\"><span style=\"color: #000000;\">196<\/span><\/td>\n<td width=\"63\"><span style=\"color: #000000;\">179<\/span><\/td>\n<td width=\"56\"><span style=\"color: #000000;\">375<\/span><\/td>\n<\/tr>\n<tr>\n<td width=\"72\"><span style=\"color: #000000;\">% within Gender<\/span><\/td>\n<td width=\"58\"><span style=\"color: #000000;\">30.0%<\/span><\/td>\n<td width=\"63\"><span style=\"color: #000000;\">44.5%<\/span><\/td>\n<td width=\"56\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td rowspan=\"2\" width=\"147\"><span style=\"color: #000000;\">suite<\/span><\/td>\n<td width=\"72\"><span style=\"color: #000000;\">Count<\/span><\/td>\n<td width=\"58\"><span style=\"color: #000000;\">222<\/span><\/td>\n<td width=\"63\"><span style=\"color: #000000;\">86<\/span><\/td>\n<td width=\"56\"><span style=\"color: #000000;\">308<\/span><\/td>\n<\/tr>\n<tr>\n<td width=\"72\"><span style=\"color: #000000;\">% within Gender<\/span><\/td>\n<td width=\"58\"><span style=\"color: #000000;\">34.0%<\/span><\/td>\n<td width=\"63\"><span style=\"color: #000000;\">21.4%<\/span><\/td>\n<td width=\"56\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td rowspan=\"2\" width=\"147\"><span style=\"color: #000000;\">sword<\/span><\/td>\n<td width=\"72\"><span style=\"color: #000000;\">Count<\/span><\/td>\n<td width=\"58\"><span style=\"color: #000000;\">195<\/span><\/td>\n<td width=\"63\"><span style=\"color: #000000;\">138<\/span><\/td>\n<td width=\"56\"><span style=\"color: #000000;\">322<\/span><\/td>\n<\/tr>\n<tr>\n<td width=\"72\"><span style=\"color: #000000;\">% within Gender<\/span><\/td>\n<td width=\"58\"><span style=\"color: #000000;\">28.2%<\/span><\/td>\n<td width=\"63\"><span style=\"color: #000000;\">34.3%<\/span><\/td>\n<td width=\"56\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td rowspan=\"2\" width=\"147\"><span style=\"color: #000000;\">yacht<\/span><\/td>\n<td width=\"72\"><span style=\"color: #000000;\">Count<\/span><\/td>\n<td width=\"58\"><span style=\"color: #000000;\">297<\/span><\/td>\n<td width=\"63\"><span style=\"color: #000000;\">209<\/span><\/td>\n<td width=\"56\"><span style=\"color: #000000;\">495<\/span><\/td>\n<\/tr>\n<tr>\n<td width=\"72\"><span style=\"color: #000000;\">% within Gender<\/span><\/td>\n<td width=\"58\"><span style=\"color: #000000;\">43.8%<\/span><\/td>\n<td width=\"63\"><span style=\"color: #000000;\">52.0%<\/span><\/td>\n<td width=\"56\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td rowspan=\"2\" width=\"147\"><span style=\"color: #000000;\">zoology<\/span><\/td>\n<td width=\"72\"><span style=\"color: #000000;\">Count<\/span><\/td>\n<td width=\"58\"><span style=\"color: #000000;\">233<\/span><\/td>\n<td width=\"63\"><span style=\"color: #000000;\">75<\/span><\/td>\n<td width=\"56\"><span style=\"color: #000000;\">308<\/span><\/td>\n<\/tr>\n<tr>\n<td width=\"72\"><span style=\"color: #000000;\">% within Gender<\/span><\/td>\n<td width=\"58\"><span style=\"color: #000000;\">35.7%<\/span><\/td>\n<td width=\"63\"><span style=\"color: #000000;\">18.7%<\/span><\/td>\n<td width=\"56\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td width=\"147\"><span style=\"color: #000000;\">\u00a0Total gender wise respondents<\/span><\/td>\n<td width=\"72\"><span style=\"color: #000000;\">\u00a0<\/span><\/td>\n<td width=\"58\"><span style=\"color: #000000;\">698<\/span><\/td>\n<td width=\"63\"><span style=\"color: #000000;\">404<\/span><\/td>\n<td width=\"56\"><span style=\"color: #000000;\">1102<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p style=\"text-align: center;\"><span style=\"color: #000000;\">\u00a0(Table 5.5) Percentage within Gender for Mispronounced words in Mewar<\/span><\/p>\n<div align=\"center\">\n<table width=\"525\" border=\"0\" cellspacing=\"0\" cellpadding=\"0\">\n<tbody>\n<tr>\n<td width=\"43\"><span style=\"color: #000000;\"><b>SL. NO<\/b><\/span><\/td>\n<td width=\"127\"><span style=\"color: #000000;\"><b>MALE FEMALE MISPRONOUNCED WORDS<\/b><\/span><\/td>\n<td width=\"103\"><span style=\"color: #000000;\"><b>DIFFERENCE OF PROPORTIONS<\/b><\/span><\/td>\n<td width=\"94\"><span style=\"color: #000000;\"><b>STANDARD ERROR<\/b><\/span><\/td>\n<td width=\"69\"><span style=\"color: #000000;\"><b>Z TEST<\/b><\/span><\/td>\n<td width=\"89\"><span style=\"color: #000000;\"><b>NULL-HYPOTHESIS <\/b><\/span><\/td>\n<\/tr>\n<tr>\n<td width=\"43\"><span style=\"color: #000000;\">1<\/span><\/td>\n<td width=\"127\"><span style=\"color: #000000;\">all<\/span><\/td>\n<td width=\"103\"><span style=\"color: #000000;\">8.3%<\/span><\/td>\n<td width=\"94\"><span style=\"color: #000000;\">0.051783928<\/span><\/td>\n<td width=\"69\"><span style=\"color: #000000;\">1.610244<\/span><\/td>\n<td width=\"89\"><span style=\"color: #000000;\">ACCEPT<\/span><\/td>\n<\/tr>\n<tr>\n<td width=\"43\"><span style=\"color: #000000;\">2<\/span><\/td>\n<td width=\"127\"><span style=\"color: #000000;\">chauffeur<\/span><\/td>\n<td width=\"103\"><span style=\"color: #000000;\">-25.4%<\/span><\/td>\n<td width=\"94\"><span style=\"color: #000000;\">0.043345527<\/span><\/td>\n<td width=\"69\"><span style=\"color: #000000;\">-5.86362<\/span><\/td>\n<td width=\"89\"><span style=\"color: #000000;\"><b>REJECT<\/b><\/span><\/td>\n<\/tr>\n<tr>\n<td width=\"43\"><span style=\"color: #000000;\">3<\/span><\/td>\n<td width=\"127\"><span style=\"color: #000000;\">debt<\/span><\/td>\n<td width=\"103\"><span style=\"color: #000000;\">-11.3%<\/span><\/td>\n<td width=\"94\"><span style=\"color: #000000;\">0.050918369<\/span><\/td>\n<td width=\"69\"><span style=\"color: #000000;\">-2.22259<\/span><\/td>\n<td width=\"89\"><span style=\"color: #000000;\"><b>REJECT<\/b><\/span><\/td>\n<\/tr>\n<tr>\n<td width=\"43\"><span style=\"color: #000000;\">4<\/span><\/td>\n<td width=\"127\"><span style=\"color: #000000;\">ewe<\/span><\/td>\n<td width=\"103\"><span style=\"color: #000000;\">-14.4%<\/span><\/td>\n<td width=\"94\"><span style=\"color: #000000;\">0.047003611<\/span><\/td>\n<td width=\"69\"><span style=\"color: #000000;\">-3.05437<\/span><\/td>\n<td width=\"89\"><span style=\"color: #000000;\"><b>REJECT<\/b><\/span><\/td>\n<\/tr>\n<tr>\n<td width=\"43\"><span style=\"color: #000000;\">5<\/span><\/td>\n<td width=\"127\"><span style=\"color: #000000;\">lion<\/span><\/td>\n<td width=\"103\"><span style=\"color: #000000;\">-5.3%<\/span><\/td>\n<td width=\"94\"><span style=\"color: #000000;\">0.053114804<\/span><\/td>\n<td width=\"69\"><span style=\"color: #000000;\">-1.00682<\/span><\/td>\n<td width=\"89\"><span style=\"color: #000000;\">ACCEPT<\/span><\/td>\n<\/tr>\n<tr>\n<td width=\"43\"><span style=\"color: #000000;\">6<\/span><\/td>\n<td width=\"127\"><span style=\"color: #000000;\">salmon<\/span><\/td>\n<td width=\"103\"><span style=\"color: #000000;\">-14.5%<\/span><\/td>\n<td width=\"94\"><span style=\"color: #000000;\">0.049514213<\/span><\/td>\n<td width=\"69\"><span style=\"color: #000000;\">-2.93089<\/span><\/td>\n<td width=\"89\"><span style=\"color: #000000;\"><b>REJECT<\/b><\/span><\/td>\n<\/tr>\n<tr>\n<td width=\"43\"><span style=\"color: #000000;\">7<\/span><\/td>\n<td width=\"127\"><span style=\"color: #000000;\">suite<\/span><\/td>\n<td width=\"103\"><span style=\"color: #000000;\">12.6%<\/span><\/td>\n<td width=\"94\"><span style=\"color: #000000;\">0.054462499<\/span><\/td>\n<td width=\"69\"><span style=\"color: #000000;\">2.314235<\/span><\/td>\n<td width=\"89\"><span style=\"color: #000000;\"><b>REJECT<\/b><\/span><\/td>\n<\/tr>\n<tr>\n<td width=\"43\"><span style=\"color: #000000;\">8<\/span><\/td>\n<td width=\"127\"><span style=\"color: #000000;\">sword<\/span><\/td>\n<td width=\"103\"><span style=\"color: #000000;\">-6.2%<\/span><\/td>\n<td width=\"94\"><span style=\"color: #000000;\">0.052282941<\/span><\/td>\n<td width=\"69\"><span style=\"color: #000000;\">-1.17643<\/span><\/td>\n<td width=\"89\"><span style=\"color: #000000;\">ACCEPT<\/span><\/td>\n<\/tr>\n<tr>\n<td width=\"43\"><span style=\"color: #000000;\">9<\/span><\/td>\n<td width=\"127\"><span style=\"color: #000000;\">yacht<\/span><\/td>\n<td width=\"103\"><span style=\"color: #000000;\">-8.2%<\/span><\/td>\n<td width=\"94\"><span style=\"color: #000000;\">0.045331594<\/span><\/td>\n<td width=\"69\"><span style=\"color: #000000;\">-1.80717<\/span><\/td>\n<td width=\"89\"><span style=\"color: #000000;\">ACCEPT<\/span><\/td>\n<\/tr>\n<tr>\n<td width=\"43\"><span style=\"color: #000000;\">10<\/span><\/td>\n<td width=\"127\"><span style=\"color: #000000;\">zoology<\/span><\/td>\n<td width=\"103\"><span style=\"color: #000000;\">17.0%<\/span><\/td>\n<td width=\"94\"><span style=\"color: #000000;\">0.054849199<\/span><\/td>\n<td width=\"69\"><span style=\"color: #000000;\">3.10392<\/span><\/td>\n<td width=\"89\"><span style=\"color: #000000;\"><b>REJECT<\/b><\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p style=\"text-align: center;\"><span style=\"color: #000000;\">\u00a0<i>(Table 5.6) Hypothesis Testing for Gender-wise mispronounced words using Z test<\/i><\/span><\/p>\n<p><span style=\"color: #000000;\">In the above (Table 5.4) shows the tabulation of gender-wise top ten words. (Table 5.5) shows the calculation of percentage within the gender and (Table 5.6) shows the result of the testing. The null hypothesis is accepted or rejected based on the following condition If (Absolute calculated value&gt;1.96) H<sub>0<\/sub> is rejected otherwise it is accepted.<\/span><\/p>\n<p><span style=\"color: #000000;\">As alternate hypothesis is taken for the cases where null hypothesis is rejected, therefore we can now safely conclude that among the top ten male-female mispronounced words in Mewar, \u2018chauffeur\u2019 (-5.86362), \u2018debt\u2019 (-2.22259), \u2018ewe\u2019 (-3.05437), \u2018salmon\u2019 (-2.93089), \u2018suite\u2019 (2.314235) and \u2018zoology\u2019 (3.10392) are the words where the behaviour of mispronunciation is not same across the gender.<\/span><\/p>\n<p><span style=\"color: #000000;\">However, there are a number of issues that we need to take into consideration in interpreting and generalising the results of this study. First of all, it not possible to record all respondents and decide on a single model as students come from diverse backgrounds and have been exposed to different varieties of spoken English as second language based on their socio-economic background. Also students may become conscious about their recording and they tend to deviate from the original native pronunciation. Students having access to language labs could have other motivating factors for the efficiency while those who don\u2019t or are not familiar with its use could never understand the difference of standard pronunciation.\u00a0<\/span><\/p>\n<p><span style=\"color: #000000;\">However, this research work demonstrates how words are frequently mispronounced in an ESL classroom and whether the pattern of behaviour of mispronunciation across all words is the same or not in each district.\u00a0 A humble effort has been made to find out the top 10 most mispronounced words in each district of Mewar i.e. (Bhilwara, Chittaurgarh, Rajsamand and Udaipur). ELT research is still in its nascent stage in India and a lot of research work needs to be carried out with respect to language learning in Indian context. Second language acquisition is a primary concern for language learners who are region specific and come from diverse socio-economic backgrounds. As progressive governments in the world advocate multilingualism, the demand for learning multiple languages has grown leading to better employability skills.<\/span><\/p>\n<p><span style=\"color: #000000;\">As the National Knowledge Commission Report on curriculum reform in the Higher Education says:<\/span><\/p>\n<p><span style=\"color: #000000;\">\u201cThe current curriculum should be modified to provide greater flexibility, inter-disciplinary perspective and choice of electives. The focus in the teaching\/learning process should be on integrating skills such as problem solving and logical reasoning, process orientation, learning ability, English communication and programming fundamentals. Industry participation to discuss real-life case studies should be encouraged. Laboratory courses must be revamped to develop a healthy attitude towards experimental work\u201d&#8230;(89)<\/span><\/p>\n<p><span style=\"color: #000000;\">To conclude, English can no longer be taken as a foreign language but rather a need based language to communicate with the world. Better language learning facilities, efficient teachers and good infrastructure are the key to mastery of good communication skills in the target language.<\/span><\/p>\n<p><span style=\"color: #000000;\"><b>References<\/b><\/span><\/p>\n<p><span style=\"color: #000000;\">Iqbal, Asif. \u201cMispronunciations of Rajasthani ESL Learners in Mewar.\u201d <i>ELT Voices &#8211; India<\/i> 2.April (2011): 17\u201324. Print.<\/span><\/p>\n<p><span style=\"color: #000000;\">Iqbal, Asif and Nupur Tandon. \u201cInnovative Language Teaching Techniques and Learning Methodologies for Classroom Activities in Secondary Schools of Rajasthan.\u201d <i>Interfacing ELT with Culture &amp; Technology<\/i>. Ed. Pushp Lata, Devika, &amp; Gajendra Singh Chauhan. Jain Brothers. 2012. 25\u201332. Print.<\/span><\/p>\n<p><span style=\"color: #000000;\">&#8212;. \u201cMispronunciations of ESL Learners in English Classrooms: Error Frequency &amp; Analysis.\u201d <i>ELT Voices &#8211; India<\/i> 2.4 (2012): 2\u201315. Print.<\/span><\/p>\n<p><span style=\"color: #000000;\">Krishnalalitha. K. A. \u201cEnglish Language Teaching in Developing Countries Error Analysis and Remedial Teaching Methods &#8211; An Overview.\u201d <i>Language in India<\/i> 10.January (2010): 169\u2013174. Print.<\/span><\/p>\n<p><span style=\"color: #000000;\">Krishnaveni, R. \u201cSome Aspects of Teaching-Learning English as a Second Language.\u201d <i>Language in India<\/i> 10.May (2010): 131\u2013159. Print.<\/span><\/p>\n<p><span style=\"color: #000000;\">Wells, J C. \u201cPronunciation Research by Written Questionnaire.\u201d n. pag. Print.<\/span><\/p>\n<p><span style=\"color: #000000;\">Goyal, Sangeeta. \u201cLearning Achievements in India: A Study of Primary Education in Rajasthan.\u201d 2007: 1\u201343. Print.<\/span><\/p>\n<p><span style=\"color: #000000;\">Graddol, David. <i>English Next<\/i>. Plymouth: Latimer Trend &amp; Company Ltd, 2006. Print.<\/span><\/p>\n<p><span style=\"color: #000000;\">&#8212;. <i>English Next India<\/i>. The English Company UK Ltd, 2010. Print.<\/span><\/p>\n<p><span style=\"color: #000000;\">&#8212;. <i>The Future of English?<\/i> The Englis. London, 2000. Print.<\/span><\/p>\n<p><span style=\"color: #000000;\">Pitroda, Sam. <i>Report to the Nation 2006-2009 National Knowledge Commission<\/i>. New Delhi, 2009.<\/span><\/p>\n<p><span style=\"color: #003366;\"><strong>About the Author<\/strong><\/span><\/p>\n<p><span style=\"color: #003366;\"><strong>Mr. Asif Iqbal<\/strong> is working as Principal, Global Indian International School, Jodhpur. He has a Masters in English Literature and is a recipient of University Gold Medal from Rabindra Bharati University, Calcutta. He has been teaching English at secondary and tertiary level (UG) for more than a decade. He has recently submitted his research thesis on <i>\u201cMispronunciations of ESL Learners in Mewar: A Case study in Language Lab\u201d<\/i> at MNIT, Jaipur.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Abstract Mispronunciation of English words is a common problem among second language learners and this paper highlights the common problems that students face be it in terms of phonemic awareness or the feeling of inferiority.\u00a0This paper is part of the interdisciplinary research study that was carried out on fifty commonly mispronounced words in region of 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