Suppose a simple random sample of size n= 125 is obtained from a population whose size is N= 15,000 and whose population proportic specified characteristic is p = 0.8. Click here to view the standard normal distribution table (page 1). Click here to view the standard normal distribution table_(page 2). ..... (a) Describe the sampling distribution of p. Choose the phrase that best describes the shape of the sampling distribution below. A. Approximately normal because ns0.05N and np(1 - p) 2 10. B. Approximately normal because ns0.05N and np(1 - p) < 10. C. Not normal because ns0.05N and np(1-p)> 10. D. Not normal because n <0.05N and np(1 - p) < 10. Determine the mean of the sampling distribution of p.
Suppose a simple random sample of size n= 125 is obtained from a population whose size is N= 15,000 and whose population proportic specified characteristic is p = 0.8. Click here to view the standard normal distribution table (page 1). Click here to view the standard normal distribution table_(page 2). ..... (a) Describe the sampling distribution of p. Choose the phrase that best describes the shape of the sampling distribution below. A. Approximately normal because ns0.05N and np(1 - p) 2 10. B. Approximately normal because ns0.05N and np(1 - p) < 10. C. Not normal because ns0.05N and np(1-p)> 10. D. Not normal because n <0.05N and np(1 - p) < 10. Determine the mean of the sampling distribution of p.
Suppose a simple random sample of size n= 125 is obtained from a population whose size is N= 15,000 and whose population proportic specified characteristic is p = 0.8. Click here to view the standard normal distribution table (page 1). Click here to view the standard normal distribution table_(page 2). ..... (a) Describe the sampling distribution of p. Choose the phrase that best describes the shape of the sampling distribution below. A. Approximately normal because ns0.05N and np(1 - p) 2 10. B. Approximately normal because ns0.05N and np(1 - p) < 10. C. Not normal because ns0.05N and np(1-p)> 10. D. Not normal because n <0.05N and np(1 - p) < 10. Determine the mean of the sampling distribution of p.