1. Normancalled today to say he had found a way for us to model the number of customer phone calls per hour. He had been thinking about other statistical factors that might play into our planning, so he got out some of his old stats texts and started browsing through them. Apparently by using something called a Poisson distribution, we could find the likelihood of large volumes of phone calls during any hour of the day. This could really help with staffing decisions.

Norman had already done a little research into other new bakeries and determined that we could expect an average of 4.4 phone calls per hour. Using a Poisson table, I think I can figure this out.

Respond to the following in the Forum:

1.1. What is the probability of more than 3 phone calls per hour?

1.2. With current staffing plans, the bakery could handle up to 6 phone calls per hour during its busiest periods. What is the probability of more than 6 phone calls during one of the busy hours of the day? Is this a concern?

1.3. Where do we encounter Binomial or Poisson processes in everyday life?

1.4. Are there any tools in Excel to help us work with Binomial or Poisson distributions?

1.5. In what areas of your daily lives are normal curves used to describe things?

Price: $6.39

Solution: The downloadable solution consists of 2 pages, 439 words.
Deliverable: Word Document