Suppose a simple random sample of size n = 125 is obtained from a population whose size is N= 15,000 and whose population proportion with a 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 n <0.05N and np(1 – p) 2 10. D. Not normal because ns0.05N and np(1 –p)< 10.
Suppose a simple random sample of size n = 125 is obtained from a population whose size is N= 15,000 and whose population proportion with a 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 n <0.05N and np(1 – p) 2 10. D. Not normal because ns0.05N and np(1 –p)< 10.
Suppose a simple random sample of size n = 125 is obtained from a population whose size is N= 15,000 and whose population proportion with a 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 n <0.05N and np(1 – p) 2 10. D. Not normal because ns0.05N and np(1 –p)< 10.