Suppose that, on average, 2 people in 1000 makes a numerical error in preparing his or her income tax return. If 6000 returns are selected at random and examined, find the probability that 7, 8, or 9 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 7, 8, or 9 income tax returns contain an error is. (Round to four decimal places as needed.)

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Suppose that, on average, 2 people in 1000 makes a numerical error in preparing his or her income tax return. If 6000 returns are selected at random and examined,
find the probability that 7, 8, or 9 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 7, 8, or 9 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 6000 returns are selected at random and examined, find the probability that 7, 8, or 9 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 7, 8, or 9 income tax returns contain an error is (Round to four decimal places as needed.)
Expert Solution
Step 1

Let random variable X represent the number of forms containing numerical error out of 6000 forms selected at random.

If a form contain an error, it is considered as success.

Probability of a success in each trial is p=21000=0.002.

Because trails are independent, X has a binomial distribution with parameters n=6000 and p=0.002.

But, here p=0.002 is too small which is close to 0. number of trials, n=6000 is large and μ=n×p=6000×0.002=12 is finite.

Therefore, using Poisson approximation, X has a Poisson distribution with parameter μ=10.

The probability mass function of X is,

Px;μ=e-μμxx!,x=0,1,2,...

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