Report 16.1 A grocery store manager wants to analyze customer spending data by product categories: fresh baked goods, meat and dairy, produce, and frozen food. Fresh 1 baked goods: 30% of shoppers purchase these items, spending follows a uniform distribution between $3 and $19. Meat and dairy: 70% of shoppers purchase these items, spending is normally distributed with a mean of $21 and a standard deviation of $5.27. Produce: 80% of shoppers spend an average of $15 on produce, spending follows a normal distribution with a standard deviation of $2.31. Frozen food: 65% of shoppers purchase these items, spending follows a uniform distribution between $7.25 and $28.50. On average, approximately 220 customers visit the store each day. The task is to develop a Monte Carlo simulation and risk analysis model to analyze customer spending and the fluctuation in daily revenue.

Report 16.1 A grocery store manager wants to analyze customer spending data by product categories: fresh baked goods, meat and dairy, produce, and frozen food. Fresh 1 baked goods: 30% of shoppers purchase these items, spending follows a uniform distribution between $3 and $19. Meat and dairy: 70% of shoppers purchase these items, spending is normally distributed with a mean of $21 and a standard deviation of $5.27. Produce: 80% of shoppers spend an average of $15 on produce, spending follows a normal distribution with a standard deviation of $2.31. Frozen food: 65% of shoppers purchase these items, spending follows a uniform distribution between $7.25 and $28.50. On average, approximately 220 customers visit the store each day. The task is to develop a Monte Carlo simulation and risk analysis model to analyze customer spending and the fluctuation in daily revenue.