Suppose a simple random sample of size n = 75 is obtained from a population whos
ID: 3159922 • Letter: S
Question
Suppose a simple random sample of size n = 75 is obtained from a population whose size is N = 30,000 and whose population proportion with a specified characteristic is p = 0.8. Complete parts (a) through (c) below Determine the mean of the sampling distribution of p. mu_p = .8 (Round to one decimal place as needed.) Determine the standard deviation of the sampling distribution of p. sigma_p = .046188 (Round to six decimal places as needed.) What is the probability of obtaining x = 66 or more individuals with the characteristic ? That is, What is P(p Greaterthanorequalto 0.88)? P(p Greaterthanorequalto 0.88) = .0418 (Round to four decimal places as needed.) What is that probability of obtaining x = 57 or fewer individuals with the characteristic? That is, what is P(p lessthanorequalto 0.76)? P(p lessthanorequalto 0.76) = (Round to four decimal places as needed.)Explanation / Answer
c)
We first get the z score for the critical value. As z = (x - u) / s, then as
x = critical value = 0.76
u = mean = 0.8
s = standard deviation = 0.046188
Thus,
z = (x - u) / s = -0.866025808
Thus, using a table/technology, the left tailed area of this is
P(z < -0.866025808 ) = 0.193238005 [ANSWER]
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If you use tables, then:
Thus, using a table/technology, the left tailed area of this is
P(z < -0.87 ) = 0.1922 [ALTERNATE ANSWER, USING TABLES]
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