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One out of every 5000 individuals in a population carries
Chapter 4, Problem 6E(choose chapter or problem)
One out of every 5000 individuals in a population carries a certain defective gene. A random sample of 1000 individuals is studied.
a. What is the probability that exactly one of the sample individuals carries the gene?
b. What is the probability that none of the sample individuals carries the gene?
c. What is the probability that more than two of the sample individuals carry the gene?
d. What is the mean of the number of sample individuals that carry the gene?
e. What is the standard deviation of the number of sample individuals that carry the gene?
Questions & Answers
(2 Reviews)
QUESTION:
One out of every 5000 individuals in a population carries a certain defective gene. A random sample of 1000 individuals is studied.
a. What is the probability that exactly one of the sample individuals carries the gene?
b. What is the probability that none of the sample individuals carries the gene?
c. What is the probability that more than two of the sample individuals carry the gene?
d. What is the mean of the number of sample individuals that carry the gene?
e. What is the standard deviation of the number of sample individuals that carry the gene?
ANSWER:Step 1 of 6
Here one out of every 5,000 individual in a population carries a certain defective gene
So, p = 1/5000
= 0.0002
The sample size is 1000
So, n = 1000
Let X be the number of individuals who carry the gene
Here \(\mathrm{X}\sim\mathrm{B}(1000,\ 0.0002)\)
Since ‘n’ is large and ‘p’ is small
The Binomial distribution will be converted to the Poisson distribution
The pmf of poisson distribution is \(\mathrm{P}(\mathrm{X})=\frac{e^{-\lambda}\lambda^x}{x!},\mathrm{\ X}=0,\ 1,\ 2,\ldots\ldots\ldots\ldots\)
So,
\(\begin{aligned} \lambda & =\mathrm{np} \\ & =1000(0.0002) \\ & =0.2 \end{aligned}\)
Hence \(\mathrm{X} \sim \text { Poisson }(0.2)\)
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Review this written solution for 19418) viewed: 1871 isbn: 9780073401331 | Statistics For Engineers And Scientists - 4 Edition - Chapter 4.3 - Problem 6e
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