Describe the sampling distribution of p. Assume the size of the population is 30,000. n= 1400, p = 0.113 Describe the shape of the sampling distribution of p. Choose the correct answer below. A. The shape of the sampling distribution of p is not normal because ns0.05N and np(1-p)<10. O B. The shape of the sampling distribution of p is not normal because ns0.05N and np(1 - p) 2 10. O C. The shape of the sampling distribution of p is approximately normal because ns0.05N and np(1 - p) < 10. O D. The shape of the sampling distribution of p is approximately normal because ns 0.05N and np(1 - p) 2 10.

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Describe the sampling distribution of p. Assume the size of the population is 30,000.
n= 1400, p = 0.113
Describe the shape of the sampling distribution of p. Choose the correct answer below.
O A. The shape of the sampling distribution of p is not normal because n S0.05N and np(1 - p) < 10.
O B. The shape of the sampling distribution of p is not normal because ns0.05N and np(1 - p) 2 10.
OC.
The shape of the sampling distribution of p is approximately normal because n s0.05N and np(1- p)< 10.
O D. The shape of the sampling distribution of p is approximately normal because ns0.05N and np(1 - p) 2 10.
Transcribed Image Text:Describe the sampling distribution of p. Assume the size of the population is 30,000. n= 1400, p = 0.113 Describe the shape of the sampling distribution of p. Choose the correct answer below. O A. The shape of the sampling distribution of p is not normal because n S0.05N and np(1 - p) < 10. O B. The shape of the sampling distribution of p is not normal because ns0.05N and np(1 - p) 2 10. OC. The shape of the sampling distribution of p is approximately normal because n s0.05N and np(1- p)< 10. O D. The shape of the sampling distribution of p is approximately normal because ns0.05N and np(1 - p) 2 10.
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