More than 50 million guests stay at bed and breakfasts BBs e
More than 50 million guests stay at bed and breakfasts (B&Bs) each year. The website for the Bed and Breakfast Inns of North America, which averages five visitors per minute, enables many B&Bs to attract guests.
a. Compute the probability of no website visitors in a one-minute period.
b. Compute the probability of two or more website visitors in a one-minute period.
c. Compute the probability of one or more website visitors in a 30-second period.
d. Compute the probability of five or more website visitors in a one-minute period.
Solution
a)
Note that the probability of x successes out of n trials is
P(x) = u^x e^(-u) / x!
where
u = the mean number of successes = 5
x = the number of successes = 0
Thus, the probability is
P ( 0 ) = 0.006737947 [ANSWER]
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B)
Note that P(at least x) = 1 - P(at most x - 1).
Using a cumulative poisson distribution table or technology, matching
u = the mean number of successes = 5
x = our critical value of successes = 2
Then the cumulative probability of P(at most x - 1) from a table/technology is
P(at most 1 ) = 0.040427682
Thus, the probability of at least 2 successes is
P(at least 2 ) = 0.959572318 [ANSWER]
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c)
In 30 s, the average is 5/2 = 2.5 visitors.
Note that P(at least x) = 1 - P(at most x - 1).
Using a cumulative poisson distribution table or technology, matching
u = the mean number of successes = 2.5
x = our critical value of successes = 1
Then the cumulative probability of P(at most x - 1) from a table/technology is
P(at most 0 ) = 0.082084999
Thus, the probability of at least 1 successes is
P(at least 1 ) = 0.917915001 [ANSWER]
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d)
Note that P(at least x) = 1 - P(at most x - 1).
Using a cumulative poisson distribution table or technology, matching
u = the mean number of successes = 5
x = our critical value of successes = 5
Then the cumulative probability of P(at most x - 1) from a table/technology is
P(at most 4 ) = 0.440493285
Thus, the probability of at least 5 successes is
P(at least 5 ) = 0.559506715 [ANSWER]

