{"id":25314,"date":"2026-03-28T23:29:58","date_gmt":"2026-03-28T17:59:58","guid":{"rendered":"http:\/\/www.sachdevajk.in\/?p=25314"},"modified":"2026-03-28T23:29:58","modified_gmt":"2026-03-28T17:59:58","slug":"a-comparative-statistical-analysis-of-beverage-brands","status":"publish","type":"post","link":"http:\/\/www.sachdevajk.in\/?p=25314","title":{"rendered":"A Comparative Statistical Analysis of Beverage Brands"},"content":{"rendered":"

A Comparative<\/span><\/span>\u00a0Statistical Analysis\u00a0<\/span><\/span>of Beverage Brands<\/span><\/span><\/p>\n

\u00a0<\/span><\/p>\n

Author<\/span><\/span>:\u00a0<\/span><\/span>Sanika Sanjay Jadhav- 68<\/span><\/span><\/p>\n

Introduction:<\/span><\/span><\/p>\n

The beverage market in India is highly competitive and diverse, with leading brands offering a wide range of products to meet changing consumer tastes. Differences in pricing, product variety, brand image, and marketing strategies play a key role in shaping customer preferences. A comparative analysis helps highlight how these brands position themselves and compete within the dynamic Indian market.<\/span><\/span><\/p>\n

Objective:<\/span><\/span><\/p>\n

To analyze the ratings of<\/span><\/span>\u00a0Beverage Brands<\/span><\/span>\u00a0<\/span><\/span>using oneway ANOVA in order to determine whether significant differences exist among them.<\/span><\/span><\/p>\n

Literature review:<\/span><\/span><\/p>\n

Brand Perception and Consumer Behavior<\/span><\/span><\/p>\n

According philip<\/span><\/span>\u00a0Kotler\u00a0<\/span><\/span>and\u00a0<\/span><\/span>Kevin Lane Keller<\/span><\/span>\u00a0(2016), brand perception significantly influences consumer buying behavior and product evaluation. Their study highlights that strong brand equity leads to higher consumer trust, which directly impacts ratings and preferences. They conclude that companies with well-established branding strategies tend to receive more consistent and favorable consumer evaluations.<\/span><\/span><\/p>\n

Consumer Preference and Competitive Analysis<\/span><\/span><\/p>\n

Research by\u00a0<\/span><\/span>Leon Schiffman<\/span><\/span>\u00a0and\u00a0<\/span><\/span>Leslie Lazar Kanuk<\/span><\/span>(2007) focuses on consumer preference patterns and decision-making processes. The study concludes that comparative analysis helps in identifying key differences among competing brands and provides valuable insights into consumer choices, enabling companies to refine their strategies.<\/span><\/span><\/p>\n

Data collection:<\/span><\/span><\/p>\n

The data for this study was collected using primary research methods via a structured survey distributed through Google Forms. A total of\u00a0<\/span><\/span>3<\/span><\/span>0<\/span><\/span>\u00a0responses were recorded. Participants were asked to rate the\u00a0<\/span><\/span>Beverage Brands<\/span><\/span>\u2014<\/span><\/span>Coco-Cola<\/span><\/span>,\u00a0<\/span><\/span>Pe<\/span><\/span>psi, Fanta<\/span><\/span>\u00a0and Sprite<\/span><\/span>\u00a0<\/span><\/span>on a scale of 1 to 10 based on their overall performance, brand value, and\u00a0<\/span><\/span>product<\/span><\/span>\u00a0consistency, and a One-Way ANOVA was calculated on the compiled data.<\/span><\/span><\/p>\n

Data Analysis:<\/span><\/span><\/p>\n

Anova: Single Factor<\/span><\/span>\u200b<\/span>\u00a0<\/span><\/span>\u200b<\/span>\u00a0<\/span><\/span>\u200b<\/span>\u00a0<\/span><\/span>\u200b<\/span><\/p>\n

\u200b<\/span>\u00a0<\/span><\/span>\u200b<\/span>\u00a0<\/span><\/span>\u200b<\/span>\u00a0<\/span><\/span>\u200b<\/span>\u00a0<\/span><\/span>\u200b<\/span>\u00a0<\/span><\/span>\u200b<\/span>\u00a0<\/span><\/span>\u00a0<\/span><\/p>\n

SUMMARY<\/span><\/span>\u200b<\/span>\u00a0<\/span><\/span>\u200b<\/span>\u00a0<\/span><\/span>\u200b<\/span>\u00a0<\/span><\/span>\u200b<\/span>\u00a0<\/span><\/span>\u200b<\/span><\/p>\n\n\n\n\n\n\n\n
\n
\n

Groups<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

Count<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

Sum<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

Average<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

Variance<\/span><\/p>\n<\/div>\n<\/td>\n<\/tr>\n

\n
\n

Coco-Cola<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

3<\/span>0<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

199<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

6.6<\/span>3<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

10.0<\/span>5<\/span><\/p>\n<\/div>\n<\/td>\n<\/tr>\n

\n
\n

Pepsi<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

3<\/span>0<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

1<\/span>83<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

6.<\/span>10<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

9.<\/span>80<\/span><\/p>\n<\/div>\n<\/td>\n<\/tr>\n

\n
\n

Fanta<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

3<\/span>0<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

1<\/span>70<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

5.6<\/span>7<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

11.<\/span>20<\/span><\/p>\n<\/div>\n<\/td>\n<\/tr>\n

\n
\n

Sprite<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

3<\/span>0<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

198<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

6.<\/span>60<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

8.7<\/span>5<\/span><\/p>\n<\/div>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u200b<\/span>\u00a0<\/span><\/span>\u200b<\/span>\u00a0<\/span><\/span>\u200b<\/span>\u00a0<\/span><\/span>\u200b<\/span>\u00a0<\/span><\/span>\u200b<\/span>\u00a0<\/span><\/span>\u200b<\/span>\u00a0<\/span><\/span>\u00a0<\/span><\/p>\n

\u200b<\/span>\u00a0<\/span><\/span>\u200b<\/span>\u00a0<\/span><\/span>\u200b<\/span>\u00a0<\/span><\/span>\u200b<\/span>\u00a0<\/span><\/span>\u200b<\/span>\u00a0<\/span><\/span>\u200b<\/span>\u00a0<\/span><\/span>\u00a0<\/span><\/p>\n

ANOVA<\/span><\/span>\u200b<\/span>\u00a0<\/span><\/span>\u200b<\/span>\u00a0<\/span><\/span>\u200b<\/span>\u00a0<\/span><\/span>\u200b<\/span>\u00a0<\/span><\/span>\u200b<\/span>\u00a0<\/span><\/span>\u200b<\/span><\/p>\n\n\n\n\n\n\n\n
\n
\n

Source of Variation<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

SS<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

df<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

MS<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

F<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

P-value<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

F crit<\/span><\/p>\n<\/div>\n<\/td>\n<\/tr>\n

\n
\n

Between Groups<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

1<\/span>8.50<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

3<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

6.<\/span>17<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

0.<\/span>1613<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

0.9222<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

2.68<\/span><\/p>\n<\/div>\n<\/td>\n<\/tr>\n

\n
\n

Within Groups<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

1110.00<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

1<\/span>16<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

9.<\/span>57<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

\u00a0<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

\u00a0<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

\u00a0<\/span><\/p>\n<\/div>\n<\/td>\n<\/tr>\n

\n
\n

\u00a0<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

\u00a0<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

\u00a0<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

\u00a0<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

\u00a0<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

\u00a0<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

\u00a0<\/span><\/p>\n<\/div>\n<\/td>\n<\/tr>\n

\n
\n

Total<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

1<\/span>128.50<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

1<\/span>19<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

\u00a0<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

\u00a0<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

\u00a0<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

\u00a0<\/span><\/p>\n<\/div>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u00a0<\/span><\/p>\n

H0:<\/span><\/span>\u00a0Coco-Cola<\/span><\/span>\u00a0=<\/span><\/span>Pepsi<\/span><\/span>\u00a0=\u00a0<\/span><\/span>Fanta<\/span><\/span>\u00a0<\/span><\/span>=Sprite<\/span><\/span><\/p>\n

H1:\u00a0<\/span><\/span>At least one is differen<\/span><\/span>t<\/span><\/span>\u00a0<\/span><\/span>.<\/span><\/span><\/p>\n

Conclusion:<\/span><\/span><\/p>\n

As calculated, F (0.<\/span><\/span>1613<\/span><\/span>) is less than F crit (2.6<\/span><\/span>8<\/span><\/span>). Therefore, we fail to reject H0, meaning there is no significant difference among the beverage brands.<\/span><\/span><\/p>\n

Reference:<\/span><\/span><\/p>\n

\u2022<\/span><\/span>Kotler, P., & Keller, K. L. (2016).\u00a0<\/span><\/span>Marketing management<\/span><\/span>\u00a0(15th ed.). Pearson Education. Retrieve<\/span><\/span>d\u00a0<\/span><\/span>From\u00a0<\/span><\/span>https:\/\/openlibrary.org\/books\/OL25950034M\/Marketing_Management<\/span><\/span><\/a><\/p>\n

\u2022<\/span><\/span>Schiffman, L. G., & Kanuk, L. L. (2007).\u00a0<\/span><\/span>Consumer behavior<\/span><\/span>\u00a0(9th ed.).\u00a0<\/span><\/span>E<\/span><\/span>Pearson Prentice Hall. Retrieved fro<\/span><\/span>m\u00a0<\/span><\/span>https:\/\/openlibrary.org\/<\/span><\/span><\/a><\/p>\n

\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

A Comparative\u00a0Statistical Analysis\u00a0of Beverage Brands \u00a0 Author:\u00a0Sanika Sanjay Jadhav- 68 Introduction: The beverage market in India is highly competitive and diverse, with leading brands offering a wide range of products to meet changing consumer tastes. Differences in pricing, product variety, brand image, and marketing strategies play a key role in shaping customer preferences. A comparative… Continue reading A Comparative Statistical Analysis of Beverage Brands<\/span><\/a><\/p>\n","protected":false},"author":140153,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-25314","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\/25314","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\/140153"}],"replies":[{"embeddable":true,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=25314"}],"version-history":[{"count":1,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/posts\/25314\/revisions"}],"predecessor-version":[{"id":25315,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/posts\/25314\/revisions\/25315"}],"wp:attachment":[{"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=25314"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=25314"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=25314"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}