A. List all samples of size 2 and compute the mean of each sample.

B. compute the mean of distribution of sample means and the population mean. Compare the two values.

C. Compare the dispersion in the population with that of the sample means.

10. There are five sales associates at mid-motors ford. The five representatives and the number of cars they sold last week are:

Sales. Cars Sold

Representative.

Peter Staller. 8

Connie Stallter. 6

Juan Lopez. 4

Ted Barnes. 10

Peggy Chu 6

A. How many different samples of size 2 are possible?

B. List all possible samples of size 2, and compute the mean of each sample

C. Compare the mean of the sampling distribution of sample means with that of the population

D. On a chart compare the dispersion in sample means with that of the population.

12. Scrapper elevator company has 20 sales representatives who sell its product through out the US and Canada. The number of units sold last month by each representative is listed below. Assume these sales figures to be population values.

2 3 2 3 3 4 2 4 3 2 2 7 3 4 5 3 3 3 3 5

A. Draw a graph showing the population distribution

B. compute the mean of the population

C. Select five random samples of 5 each. Compute the mean of each sample. Use the methods described the methods to be used in order to determine the items to be included in the sample.

D. Compare the mean of the sampling distribution of the sample means to the population mean. Would you expect the two values to be about the same?

E. draw a histogram of the sample means. Do you notice the difference in the shape of the distribution of sample means compared to the shape of the population distribution?

16. A normal population has a mean of 75 and a standard deviation of 5. You select a sample of 40. Compute the probability the sample mean is:

A. Less than 74

B. between 74 and 76

C. Between 76 and 77

D. Greater than 77

18. According to an IRS study it takes a mean of 330 minutes for taxpayers to prepare, copy, and electronically file a 1040 tax form. This distribution of times follows the normal distribution and the standard deviation is 80 minutes. A customer watchdog agency selects a random sample of 40 tax payers.

A. What is the standard error of the mean in this example?

B. what is the likelihood that sample mean is greater than 320 minutes?

C. What is the likelihood the sample mean is between 320 and 350 minutes?

D. What is the likelihood the sample mean is greater than 350 minutes?