Describe the sampling distribution of p. Assume the size of the population is 25,000. n = 600, p=0.313 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 Р Determine the standard deviation of the sampling distribution of p. (Round to three decimal places as needed.) 0A = Р
Describe the sampling distribution of p. Assume the size of the population is 25,000. n = 600, p=0.313 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 Р Determine the standard deviation of the sampling distribution of p. (Round to three decimal places as needed.) 0A = Р
A First Course in Probability (10th Edition)
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Chapter1: Combinatorial Analysis
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Transcribed Image Text:Describe the sampling distribution of p. Assume the size of the population is 25,000.
n = 600, p = 0.313
A
Describe 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.
A
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.
Determine the mean of the sampling distribution of p.
H^ =
р
(Round to three decimal places as needed.)
Determine the standard deviation of the sampling distribution of p.
(Round to three decimal places as needed.)
OA =
р
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