A random sample of n=250 measurements is drawn from a binomial population with probability of success .85.
a). Find E(pˆ) and σ(pˆ).
b). Describe the shape of the sampling distribution of pˆ.
c). Find P(pˆ<.9).
Answer:
Given,
sample size n = 250
probability of success p = 0.85
q = 1 - p
= 1 - 0.85
= 0.15
a)
To determine the mean & standard deviation
Mean = np
= 250*0.85
= 212.5
Standard deviation = sqrt(npq)
= sqrt(250*0.85*0.15)
= 5.65
b)
Consider,
np = 250*0.85
= 212.5 >= 10
nq = 250*0.15
= 37.5 >= 10
So the shape of the sampling distribution of p is approximately normal due to the large sample size.
c)
P(p^ < 0.9) = P((p - p^)/sqrt(p*q/n) < (0.85 - 0.9)/sqrt(0.85*0.15/250))
= P(z < -2.214)
= 0.0134144 [since from z table]
= 0.0134
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