{"id":25308,"date":"2026-03-28T23:26:19","date_gmt":"2026-03-28T17:56:19","guid":{"rendered":"http:\/\/www.sachdevajk.in\/?p=25308"},"modified":"2026-03-28T23:26:19","modified_gmt":"2026-03-28T17:56:19","slug":"a-comparative-statistical-analysis-of-shopping-preferences","status":"publish","type":"post","link":"http:\/\/www.sachdevajk.in\/?p=25308","title":{"rendered":"A Comparative Statistical Analysis of Shopping Preferences"},"content":{"rendered":"

Title: A Comparative Statistical Analysis of Shopping Preferences<\/span><\/b><\/p>\n

Author: Neha Wadekar-108<\/span><\/p>\n

\u00a0<\/p>\n

INTRODUCTION:<\/span><\/b><\/p>\n

Shopping behavior has evolved significantly with the availability of multiple retail formats such as online platforms, malls, street markets, and luxury stores. Understanding consumer preferences across these formats helps in identifying trends, satisfaction levels, and decision-making patterns. This study focuses on analyzing how consumers rate different shopping methods based on their experience and preference.<\/span><\/p>\n

OBJECTIVE:<\/span><\/b><\/p>\n

To analyze consumer ratings of different shopping methods using one-way ANOVA<\/b> and determine whether there is a significant difference in preferences among them.<\/span><\/p>\n

LITERATURE REVIEW:<\/span><\/b><\/p>\n

1.\u00a0\u00a0\u00a0\u00a0 <\/span><\/span><\/span>Consumer Behavior and Shopping Preferences<\/span><\/u><\/p>\n

According to Philip Kotler<\/span> and Kevin Lane Keller<\/span> (2016), consumer buying behavior is influenced by factors such as convenience, pricing, brand perception, and overall shopping experience. Their study highlights that online shopping is preferred for convenience and time-saving, while physical retail formats provide experiential satisfaction.<\/span><\/p>\n

2.\u00a0\u00a0\u00a0\u00a0 <\/span><\/span><\/span>Online vs Offline Shopping Behavior<\/span><\/u><\/p>\n

A study by Javaria Ashraf<\/span>, Sadia Thongpapanl<\/span>, and Robert Aitken<\/span> (2014) examined differences between online and offline shopping behavior. The study found that online shopping is driven by convenience and price comparison, while offline shopping is influenced by physical inspection and immediate product availability.<\/span>\u00a0<\/span><\/p>\n

DATA COLLECTION:<\/span><\/b><\/p>\n

The Data for this study was collected using primary research methods in a structured survey distributed through Google Forms. A total of 40 responses were recorded. Participants were asked to rate the shopping methods i.e. Online Shopping, Mall Shopping, Street Market Shopping, and Luxury Store Shopping on a scale of 1 to 10 based on their overall experience, convenience, pricing, and satisfaction, and a One-Way ANOVA was calculated.<\/span><\/p>\n

DATA ANALYSIS:<\/span><\/b><\/p>\n

Summary-<\/span><\/p>\n\n\n\n\n\n\n\n
\n

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

\n

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

\n

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

\n

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

\n

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

\n

1. Online Shopping<\/span><\/p>\n<\/td>\n

\n

40<\/span><\/p>\n<\/td>\n

\n

292<\/span><\/p>\n<\/td>\n

\n

7.3<\/span><\/p>\n<\/td>\n

\n

6.317948718<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

2. Mall Shopping<\/span><\/p>\n<\/td>\n

\n

39<\/span><\/p>\n<\/td>\n

\n

250<\/span><\/p>\n<\/td>\n

\n

6.41025641<\/span><\/p>\n<\/td>\n

\n

5.616734143<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

3. Street Market Shopping<\/span><\/p>\n<\/td>\n

\n

40<\/span><\/p>\n<\/td>\n

\n

299<\/span><\/p>\n<\/td>\n

\n

7.475<\/span><\/p>\n<\/td>\n

\n

4.819871795<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

4. Luxury Store Shopping<\/span><\/p>\n<\/td>\n

\n

40<\/span><\/p>\n<\/td>\n

\n

250<\/span><\/p>\n<\/td>\n

\n

6.25<\/span><\/p>\n<\/td>\n

\n

7.423076923<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

ANNOVA<\/span><\/p>\n\n\n\n\n\n\n\n
\n

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

\n

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

\n

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

\n

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

\n

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

\n

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

\n

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

\n

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

\n

45.64507741<\/span><\/p>\n<\/td>\n

\n

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

\n

15.2150258<\/span><\/p>\n<\/td>\n

\n

2.516058445<\/span><\/p>\n<\/td>\n

\n

0.060352<\/span><\/p>\n<\/td>\n

\n

2.662946<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

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

\n

937.3108974<\/span><\/p>\n<\/td>\n

\n

155<\/span><\/p>\n<\/td>\n

\n

6.04716708<\/span><\/p>\n<\/td>\n

\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n<\/tr>\n
\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n<\/tr>\n
\n

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

\n

982.9559748<\/span><\/p>\n<\/td>\n

\n

158<\/span><\/p>\n<\/td>\n

\n

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

\n

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

\n

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

\n

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

H0: Online Shopping = Mall Shopping = Street Market Shopping = Luxury Store Shopping<\/span><\/p>\n

H1: Anyone of them is different.<\/span><\/p>\n

CONCLUSION:<\/span><\/b><\/b><\/p>\n

As calculated P-value is 0.06 which is more than 0.05, accept H0 meaning Online Shopping = Mall Shopping = Street Market Shopping = Luxury Store Shopping.<\/span><\/p>\n

REFERENCES:<\/span><\/b><\/p>\n

Kotler, P., & Keller, K. L. (2016). Marketing Management<\/span><\/em> (15th ed.). Pearson Education.<\/span><\/p>\n

Ashraf, J., Thongpapanl, N., & Aitken, R. (2014). The application of the technology acceptance model under different cultural contexts: The case of online shopping adoption. Journal of International Consumer Marketing<\/span><\/em>, 26(1).<\/span><\/p>\n

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

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

Title: A Comparative Statistical Analysis of Shopping Preferences Author: Neha Wadekar-108 \u00a0 INTRODUCTION: Shopping behavior has evolved significantly with the availability of multiple retail formats such as online platforms, malls, street markets, and luxury stores. Understanding consumer preferences across these formats helps in identifying trends, satisfaction levels, and decision-making patterns. This study focuses on analyzing… Continue reading A Comparative Statistical Analysis of Shopping Preferences<\/span><\/a><\/p>\n","protected":false},"author":140112,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-25308","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\/25308","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\/140112"}],"replies":[{"embeddable":true,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=25308"}],"version-history":[{"count":1,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/posts\/25308\/revisions"}],"predecessor-version":[{"id":25309,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/posts\/25308\/revisions\/25309"}],"wp:attachment":[{"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=25308"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=25308"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=25308"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}