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This is a challenging question! A high-end furniture store finds that customers walk into the store at an average rate of about 33.3 customers per

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This is a challenging question! A high-end furniture store finds that customers walk into the store at an average rate of about 33.3 customers per hour. The arrival rate of customers per hour appears to follow a discrete Poisson distribution. In trying to determine staffing needs. they want to know the 95% confidence interval around the expected arrival rate. Unfortunately, there is no "inverse poisson" function in excel, so you are going to have to wing it using only the POISSON.DIST formula to find the approximate 95% confidence interval. Using only whole integers nul ers [0.1.2,..etc]. and based on the Poisson distribution, what are the upper and lower bounds that put roughly 2.5% in each tail. Enter ads only integers (no decimal places). The 95% confidence interval is roughly greater than or he ar ing equal to and less than or equal to xpc 1, so app nd b

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