Modeling Arrival Rates with Poisson Distribution
Consider a retail store that experiences different customer arrival rates modeled by a Poisson distribution. During the morning (9am to 12pm), the average arrival rate is \(\lambda_1 = 3\) customers per hour, and in the afternoon (12pm to 5pm), it is \(\lambda_2 = 2\) customers per hour. Analyze the customer arrival patterns over these segments. […]