Abstract :

Grasping Consumer Behavior Is Vital For Businesses Striving To Position Their Products And Services Effectively In A Competitive Marketplace. This Research Explores Patterns And Emerging Trends In Consumer Habits Using A Blend Of Primary Survey Responses And Existing Secondary Data. Various Statistical Tools Are Applied To Draw Meaningful Conclusions. Descriptive Statistics Are Used To Outline Demographic Details And Purchase Preferences, While Inferential Methods—especially T -Test—help Identify Significant Associations Between Demographic Factors Such As Age, Gender, And Income, And Consumer Buying Behavior. The Study Uncovers Clear Differences In Shopping Practices Among Different Demographic Groups And Emphasizes A Growing Preference For Digital Platforms And Convenience-oriented Purchasing. These Insights Are Instrumental In Refining Marketing Approaches, Guiding Product Innovation, And Enhancing Customer Engagement Strategies. Overall, The Research Highlights How Statistical Analysis Can Effectively Decode Complex Consumer Patterns, Offering A Solid Foundation For Data-driven Business Decisions. Keywords : Consumer Behavior, Statistical Analysis, T-Test, Demographic Trends, Purchasing Patterns, Digital Buying, Marketing Strategy, Data-driven Decision Making

Published:

25-9-2025

Issue:

Vol. 25 No. 9 (2025)

Page Nos:

549-556

Section:

Articles

License:

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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