The number of customers arriving per hour at a certain automobile service facility is assumed to follow a Poisson distribution with mean λ = 6. (a) Compute the probability that more than 14 customers will arrive in a 2-hour period. (b) What is the mean number of arrivals during a 2-hour period? Click here to view page 1 of the table of Poisson probability sums. Click here to view page 2 of the table of Poisson probability sums. Click here to view page 3 of the table of Poisson probability sums. (a) The probability that more than 14 customers will arrive is (Round to four decimal places as needed.)

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The number of customers arriving per hour at a certain automobile service facility is
assumed to follow a Poisson distribution with mean λ = 6.
(a) Compute the probability that more than 14 customers will arrive in a 2-hour period.
(b) What is the mean number of arrivals during a 2-hour period?
Click here to view page 1 of the table of Poisson probability sums.
Click here to view page 2 of the table of Poisson probability sums.
Click here to view page 3 of the table of Poisson probability sums.
(a) The probability that more than 14 customers will arrive is
(Round to four decimal places as needed.)
Transcribed Image Text:The number of customers arriving per hour at a certain automobile service facility is assumed to follow a Poisson distribution with mean λ = 6. (a) Compute the probability that more than 14 customers will arrive in a 2-hour period. (b) What is the mean number of arrivals during a 2-hour period? Click here to view page 1 of the table of Poisson probability sums. Click here to view page 2 of the table of Poisson probability sums. Click here to view page 3 of the table of Poisson probability sums. (a) The probability that more than 14 customers will arrive is (Round to four decimal places as needed.)
Suppose that, on average, 2 people in 1000 makes a numerical error in preparing his or
her income tax return. If 8000 returns are selected at random and examined, find the
probability that 10, 11, 12, or 13 of them contain an error.
Click here to view page 1 of the table of Poisson probability sums.
Click here to view page 2 of the table of Poisson probability sums.
The probability that 10, 11, 12, or 13 income tax returns contain an error is
(Round to four decimal places as needed.)
Transcribed Image Text:Suppose that, on average, 2 people in 1000 makes a numerical error in preparing his or her income tax return. If 8000 returns are selected at random and examined, find the probability that 10, 11, 12, or 13 of them contain an error. Click here to view page 1 of the table of Poisson probability sums. Click here to view page 2 of the table of Poisson probability sums. The probability that 10, 11, 12, or 13 income tax returns contain an error is (Round to four decimal places as needed.)
Expert Solution
Step 1: determine the given variable

Hello. Since your question has multiple, we will solve first question for you. If you want remaining QUESTION to be solved, then please resubmit the whole question



Mean for 1 hour =6

Mean for 2 hour=12

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