A scribe the sampling distribution of p. Assume the size of the population is 30,000. n = 1000, p = 0.239 scribe the shape of the sampling distribution of p. Choose the correct answer below. A. The shape of the sampling distribution of p is approximately normal because n ≤0.05N and np(1-p) ≥ 10. B. The shape of the sampling distribution of p is approximately normal because n ≤0.05N and np(1-p) < 10. C. The shape of the sampling distribution of p is not normal because n ≤0.05N and np(1-p) < 10. D. The shape of the sampling distribution of p is not normal because n ≤0.05N and np(1-p) ≥ 10. etermine the mean of the sampling distribution of p. (Round to three decimal places as needed.) etermine the standard deviation of the sampling distribution of p. (Round to three decimal places as needed.)

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Describe the sampling distribution of p. Assume the size of the population is 30,000.
n = 1000, p = 0.239
Describe the shape of the sampling distribution of p. Choose the correct answer below.
OA. The shape of the sampling distribution of p is approximately normal because n ≤0.05N and np(1-p) ≥ 10.
OB. The shape of the sampling distribution of p is approximately normal because n ≤0.05N and np(1 − p) < 10.
OC. The shape of the sampling distribution of p is not normal because n ≤0.05N and np(1 - p) < 10.
OD. The shape of the sampling distribution of p is not normal because n ≤0.05N and np(1-p) ≥ 10.
Determine the mean of the sampling distribution of p.
(Round to three decimal places as needed.)
HA=
Determine the standard deviation of the sampling distribution of p.
(Round to three decimal places as needed.)
...
σA=
P
Transcribed Image Text:Describe the sampling distribution of p. Assume the size of the population is 30,000. n = 1000, p = 0.239 Describe the shape of the sampling distribution of p. Choose the correct answer below. OA. The shape of the sampling distribution of p is approximately normal because n ≤0.05N and np(1-p) ≥ 10. OB. The shape of the sampling distribution of p is approximately normal because n ≤0.05N and np(1 − p) < 10. OC. The shape of the sampling distribution of p is not normal because n ≤0.05N and np(1 - p) < 10. OD. The shape of the sampling distribution of p is not normal because n ≤0.05N and np(1-p) ≥ 10. Determine the mean of the sampling distribution of p. (Round to three decimal places as needed.) HA= Determine the standard deviation of the sampling distribution of p. (Round to three decimal places as needed.) ... σA= P
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