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# The number of rescue calls received by a rescue squad in a city follows a Poisson distribution with µ = 2.83 per day. The squad can handle at most four calls a day. a. What is the probability that the squad will be able to handle all the calls on a particular day? b. The squad wants to have at least 95% confidence of being able to handle all the calls received in a day. At least how many calls a day should the squad be prepared for? c. Assuming that the squad can handle at most four calls a day, what is the largest value of µ that would yield 95% confidence that the squad can handle all calls?

The number of rescue calls received by a rescue squad in a city follows a Poisson distribution with µ = 2.83 per day. The squad can handle at most four calls a day.

a. What is the probability that the squad will be able to handle all the calls on a particular day?

b. The squad wants to have at least 95% confidence of being able to handle all the calls received in a day. At least how many calls a day should the squad be prepared for?

c. Assuming that the squad can handle at most four calls a day, what is the largest value of µ that would yield 95% confidence that the squad can handle all calls?

Interested in a PLAGIARISM-FREE paper based on these particular instructions?...with 100% confidentiality?