The mean number of customers who arrive at the checkout counters each minute is 4. Create a

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The mean number of customers who arrive at the checkout counters each minute is 4.

Create a Poisson distribution with \(\mu=4\) for \(x=0\) to 20 . Compare your results with the histogram shown at the upper right.

In Exercises 1–7, consider a grocery store that can process a total of four customers at its checkout counters each minute.

Queuing means waiting in line to be served. There are many examples of queuing in everyday life: waiting at a traffic light, waiting in line at a grocery checkout counter, waiting for an elevator, holding for a telephone call, and so on.
Poisson distributions are used to model and predict the number of people (calls, computer programs, vehicles) arriving at the line. In the exercises below, you are asked to use Poisson distributions to analyze the queues at a grocery store checkout counter.image text in transcribed

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