Inferential Statistical Analysis of Customer Purchase Behavior

• Overview: This project uses statistical tests to check if common beliefs about how people shop—based on their age and gender—are actually true, using real customer data.

• Main Results:

  1. Men aged 18–25 do not spend exactly ₹10,000 on average.

  2. The number of men spending more than ₹10,000 is not the same between ages 18–25 and 26–35.

  3. 35% of women are not the ones spending more than ₹10,000—it’s more or less.

  4. The average purchase between men and women (age 18–25) is not the same.

• Business Conclusion:

  Companies should not fully trust assumptions based on age or gender. Instead, they should use data* based decisions for better marketing, offers, and customer targeting.