This report presents an analysis of sample data related to a supermarket chain, focusing on demographics and their impact on sales. The analysis utilizes descriptive statistics to understand the characteristics of two samples, exploring variables such as age, gender, marital status, salary, and spending habits. Inferential statistics, including hypothesis testing, are employed to draw conclusions about the population's average spending. Furthermore, correlation and regression analyses are conducted to identify relationships between variables, such as salary and amount spent, and the number of children and amount spent. The report concludes with recommendations for the supermarket chain, suggesting strategies for targeting customers and optimizing business decisions based on the identified demographic and spending patterns. The findings highlight the importance of location, customer salary, and family size in driving sales and profitability.
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