Suppose that, on average, 1 person in 1000
makes a numerical error in preparing his or her income
tax return. If 10,000 returns are selected at random
and examined, find the probability that 6, 7, or 8 of
them contain an error.
1
Expert's answer
2018-01-27T08:18:08-0500
We have n=10000 is large and p=1⁄1000 is near 0, then the binomial distribution can be approximated by the Poisson distribution with parameter λ=np=10000×(1⁄1000)=10. The probability that 6,7, or 8 of them contain an error P(X=6)+P(X=7)+P(X=8) Use Poisson distribution P(X=x)=(e^(-λ) λ^x )/x! x=0,1,2,… P(X=6)+P(X=7)+P(X=8)=(e^(-10) 〖10〗^6 )/6!+(e^(-10) 〖10〗^7 )/7!+(e^(-10) 〖10〗^8 )/8!= =e^(-10) (〖10〗^6/40320)(56+80+100)≈0.265733715 Answer: 0.2657.
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