Title : A Study on Professional Badminton Player Preferences Using One-Way ANOVA<\/p>\n
Author : Srushti Mahajan<\/p>\n
Rollno. 0225026<\/p>\n
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Introduction:<\/p>\n
The world of professional badminton is dominated by iconic athletes who have shaped the sport through their unique playing styles and achievements. Players like P.V. Sindhu, Saina Nehwal, Lin Dan, and Lee Chong Wei represent the pinnacle of international competition, each bringing a distinct legacy to the court. While Sindhu and Nehwal have pioneered the sport’s growth in India, Lin Dan and Lee Chong Wei are celebrated globally for one of the greatest rivalries in sporting history. This study aims to identify the most preferred player among sports enthusiasts by comparing these four legendary athletes.<\/p>\n
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Objective:<\/p>\n
To understand consumer and fan preference patterns and analyze whether there is a significant difference in performance ratings among P.V. Sindhu, Saina Nehwal, Lin Dan, and Lee Chong Wei.<\/p>\n
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Literature Review:<\/p>\n
Sports Popularity and Player Influence\u00a0<\/p>\n
Top badminton players like P. V. Sindhu and Saina Nehwal have significantly contributed to increasing the popularity of badminton in India. Similarly, international players like Lin Dan and Lee Chong Wei have dominated global badminton and built strong fan followings. Their performance, achievements, and consistency influence audience preferences.<\/p>\n
Consumer Preference in Sports<\/p>\n
People\u2019s preference for sports players depends on factors such as performance, achievements, personality, and media presence. Some prefer aggressive players, while others admire consistency and discipline. These factors collectively shape the ratings given by respondents<\/p>\n
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Data Collection:<\/p>\n
Survey Method: A survey was conducted to understand fan preferences for different badminton players. The data was collected using a structured questionnaire (likely via Google form ) where respondents rated four badminton players : P.V.Sindhu Saina nehwal Lin Dan Lee Chong Wei The collected data was then analysed using statistical tools like ANOVA to draw meaningful insights about badminton players .\u00a0<\/p>\n
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Data Analysis :<\/p>\n
Anova: Single Factor<\/p>\n
SUMMARY<\/p>\n
Groups\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 Count\u00a0 \u00a0Sum\u00a0 \u00a0Averages\u00a0 \u00a0Variance\u00a0<\/p>\n
P. V SINDHU\u00a0 \u00a0 \u00a0 \u00a030\u00a0 \u00a0 \u00a0 \u00a0 243\u00a0 \u00a0 \u00a0 \u00a08.1\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a04.92069<\/p>\n
\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a00\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 0\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 #DIV\/0!\u00a0 \u00a0 \u00a0 #DIV\/0!<\/p>\n
Saina nehwal\u00a0 \u00a0 \u00a0 30\u00a0 \u00a0 \u00a0 \u00a0 \u00a0224\u00a0 \u00a0 \u00a0 7.46667 5.843678<\/p>\n
\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a00\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 0\u00a0 \u00a0 \u00a0 \u00a0 \u00a0#DIV\/0!\u00a0 \u00a0 \u00a0 \u00a0# DIV\/0!<\/p>\n
Lin Dan\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a030\u00a0 \u00a0 \u00a0 \u00a0199\u00a0 \u00a0 \u00a0 \u00a06.63333\u00a0 5.826437<\/p>\n
\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 0\u00a0 \u00a0 \u00a0 \u00a0 0\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0#DIV\/0!\u00a0 \u00a0 \u00a0 \u00a0#DIV\/0!<\/p>\n
Lee Chong Wei\u00a0 30\u00a0 \u00a0 \u00a0 196\u00a0 \u00a0 \u00a0 6.53333\u00a0 \u00a0 \u00a0 5.22989<\/p>\n
\u00a0<\/p>\n
ANOVA\u00a0<\/p>\n
Source of variance\u00a0 ss\u00a0 \u00a0 df\u00a0 \u00a0 MS\u00a0 \u00a0F\u00a0 \u00a0p value F crit<\/p>\n
Between 49.3667 6 8.2778 1.46971 0.1948 2.17982<\/p>\n
Groups<\/p>\n
Within\u00a0 \u00a0Group\u00a0 \u00a0 \u00a0 \u00a0 632.6\u00a0 \u00a0113\u00a0 5.59823\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u00a0<\/p>\n
Total\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a06819667\u00a0 119<\/p>\n
\u00a0<\/p>\n
A one-way ANOVA test was conducted to check whether there is a significant difference in the average ratings of the four badminton players. From the summary statistics, P. V. Sindhu has the highest average rating ($8.1$), followed by Saina Nehwal ($7.47$), Lin Dan ($6.63$), and Lee Chong Wei ($6.53$).<\/p>\n
\u00a0However, the ANOVA results show that the $F$-value ($1.47$) is less than the $F$ critical value ($2.18$), and the $p$-value ($0.195$) is greater than the significance level of $0.05$. This indicates that the differences in average ratings are not statistically significant.<\/p>\n
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Conclusion :<\/p>\n
Based on the statistical analysis, it is concluded that there is no statistically significant difference in the mean ratings among the four badminton players. Although P.V. Sindhu received the highest average rating (8.1) and Lee Chong Wei the lowest (6.53), these variations are likely due to random chance rather than a definitive preference across the entire sample. All four players are rated relatively equally by the respondents.<\/p>\n
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References:<\/p>\n
Kotler, P., & Keller, K. L. (2016). Marketing Management (15th ed.). Pearson.<\/p>\n
Solomon, M. R. (2018). Consumer Behavior: Buying, Having, and Being (12th ed.). Pearson.<\/p>\n","protected":false},"excerpt":{"rendered":"
Title : A Study on Professional Badminton Player Preferences Using One-Way ANOVA Author : Srushti Mahajan Rollno. 0225026 \u00a0 Introduction: The world of professional badminton is dominated by iconic athletes who have shaped the sport through their unique playing styles and achievements. Players like P.V. Sindhu, Saina Nehwal, Lin Dan, and Lee Chong Wei represent… Continue reading A study on professional badminton player preferences using one – way ANOVA<\/span><\/a><\/p>\n","protected":false},"author":140162,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-25336","post","type-post","status-publish","format-standard","hentry","category-uncategorized","entry"],"_links":{"self":[{"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/posts\/25336","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/users\/140162"}],"replies":[{"embeddable":true,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=25336"}],"version-history":[{"count":1,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/posts\/25336\/revisions"}],"predecessor-version":[{"id":25337,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/posts\/25336\/revisions\/25337"}],"wp:attachment":[{"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=25336"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=25336"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=25336"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}