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Given that x is a hypergeometric random variable, compute P(x) for each of the following cases.

a. N=5, n=3, r=3, x=1

b. N=9, n=5, r=3, x=3

c. N=4, n=2, r=2, x=2

d. N=4, n=2, r=2, x=0

Short Answer

Expert verified

a. The Hypergeometric probability for N=5, n=3, r=3, x=1 is 0.30.

b. The Hypergeometric probability for N=9, n=5, r=3, x=3 is 0.11905.

c.The Hypergeometric probability for N=4, n=2, r=2, x=2 is 0.1666

d. The Hypergeometric probability for N=4, n=2, r=2, x=0 is 0.1666.

Step by step solution

01

Given Information

The x is a hypergeometric random variable.

02

State the Hypergeometric probability distribution

The Hypergeometric probability distribution is,

Px=rxN-rn-xNnx=Maximum0,n-N-r,...,Minimumr,n

03

(a) Compute the Hypergeometric probability for N=5, n=3, r=3, x=1

The Hypergeometric probability for N=5, n=3, r=3, x=1 is computed as:

Px=315-33-153=3!1!3-1!×2!2!2-2!5!3!5-3!=3×110=0.3

Hence, the required Hypergeometric probability for N=5, n=3, r=3, x=1 is 0.3.

04

(b) Compute the Hypergeometric probability for N=9, n=5, r=3, x=3

The Hypergeometric probability for N=9, n=5, r=3, x=3 is computed as:

Px=339-35-395=3!3!3-3!×6!2!6-2!9!5!9-5!=1×15126=0.11905

Hence, the required Hypergeometric probability for N=9, n=5, r=3, x=3 is 0.11905.

05

(c) Compute the Hypergeometric probability for N=4, n=2, r=2, x=2

The Hypergeometric probability for N=4, n=2, r=2, x=2 is computed as:

Px=224-22-242=2!2!2-2!×2!0!2-0!4!2!4-2!=1×16=0.1666

Hence, the required Hypergeometric probability for N=4, n=2, r=2, x=2 is 0.1666.

06

(d) Compute the Hypergeometric probability for N=4, n=2, r=2, x=0

The Hypergeometric probability for N=4, n=2, r=2, x=0 is computed as:

Px=204-22-042=2!0!2-0!×2!2!2-2!4!2!4-2!=1×16=0.1666

Hence, the required Hypergeometric probability for N=4, n=2, r=2, x=0 is 0.1666.

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Most popular questions from this chapter

Making high-stakes insurance decisions. The Journal of Economic Psychology (September 2008) published the results of a high-stakes experiment in which subjects were asked how much they would pay for insuring a valuable painting. The painting was threatened by fire and theft, hence, the need for insurance. To make the risk realistic, the subjects were informed that if it rained on exactly 24 days in July, the painting was considered to be stolen; if it rained on exactly 23 days in August, the painting was considered to be destroyed by fire. Although the probability of these two events, “fire” and “theft,” was ambiguous for the subjects, the researchers estimated their probabilities of occurrence at .0001. Rain frequencies for the months of July and August were shown to follow a Poisson distribution with a mean of 10 days per month.

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