This project is all about utilizing the concepts of Confidence Interval and Central Limit Theorem to to analyze the customer purchase behavior against the customer’s gender and the various other factors to help the business make better decisions.
This project is all about using the concepts of Confidence Intervals and Central Limit Theorem, where confidence intervals provide a range of plausible values for population parameters, while the central limit theorem justifies the use of normal distribution for sample means. These concepts are essential for making inferences about populations based on sample data and have wide-ranging applications in statistics, research, and various fields that rely on data analysis.
- Data Pre-Processing
- Exploratory Data Analysis
- Application of CLT (Central Limit Theorem)
- Conclusions and Recommendations
The Management team at at a multi-national retail hypermarket gaint wants to analyze the customer purchase behavior (specifically, purchase amount) against the customer’s gender and the various other factors to help the business make better decisions.They want to understand if the spending habits differ between male and female customers: Do women spend more on Black Friday than men?
The company collected the transactional data of customers who purchased products from the stores during Black Friday
- NumPy
- Pandas
- Matplotlib
- Seaborn