As Mr. Manager at Bluth's famous frozen banana stand,  you're analyzing customer throughput at the busiest times of the day to determine if you might need to add a second server. Between 5:00p-8:00p, you find that an average of 28 customers/hour arrive, and you confirmed with a goodness-of-fit test that the count data follow a Poisson distribution.  a.) what is the probability that between 32 and 34 customers, inclusive of 32 and 34, arrive in an hour between 5:00p-8:00p?

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As Mr. Manager at Bluth's famous frozen banana stand,  you're analyzing customer throughput at the busiest times of the day to determine if you might need to add a second server. Between 5:00p-8:00p, you find that an average of 28 customers/hour arrive, and you confirmed with a goodness-of-fit test that the count data follow a Poisson distribution. 
a.) what is the probability that between 32 and 34 customers, inclusive of 32 and 34, arrive in an hour between 5:00p-8:00p?

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What is the probability that a server will wait more than 7 minutes to greet the next customer during the timeframe?

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