Use the values on the number line to find the sampling error. x= 4.9 p= 5.13 4.2 4.4 4.6 4.8 5.2 5.4 5.6 5.8 The sampling error is

The purpose and intent of the assignment is to help you better understand the sampling distribution of the mean. The class sampling exercise In class we conducted a sampling exercise. The population consisted of 25 elements. The possible values for the elements in the population ranged from 1 to 9 and were distributed as follows:   Value Frequency Proportion Percentage 1               1             0.04             4% 2               2             0.08             8% 3               3             0.12            12% 4               4             0.16            16% 5               5             0.2               20% 6               4             0.16             16% 7               3             0.12             12% 8               2             0.08               8% 9               1             0.04               4%   As in the class exercise, 10 elements are drawn replacing each element before the next is drawn. This was done 1000 times.  The data set is given in a separate…

Determine whether the statement is true or false. If it is false, rewrite it as a true statement. A sampling distribution of a sample mean is normal only if the population is normal. Choose the correct answer below. O A. The statement is false. A sampling distribution of a sample mean is approximately normal if either n ≥ 30 or the population is normal. B. The statement is false. A sampling distribution of a sample mean is never normal. O C. The statement is false. A sampling distribution of a sample mean is approximately normal only if n ≥ 30. OD. The statement is true.

Use the values on the number line to find the sampling error.   x=4.8 μ=5.61   The sampling error is=

Describe the sampling distribution of p. Round to three decimal places when necessary.   N=22,000​, n=400​, p=0.3

Describe the sampling distribution of p. Assume the size of the population is 15,000. n= 400, p = 0.4 Choose the phrase that best describes the shape of the sampling distribution of p below. O A. Approximately normal because ns0.05N and np(1- p) < 10. O B. Not normal because ns0.05N and np(1-p) 2 10. O C. Approximately normal because ns0.05N and np(1- p) 10. O D. Not normal because n<0.05N and np(1-p)< 10. Determine the mean of the sampling distribution of p. (Round to one decimal place as needed.) Determine the standard deviation of the sampling distribution of p. OA = (Round to three decimal places as needed.)