Question 7

What does the central limits theorem tell about the standard deviation of the sampling distribution of means, or standard error?

A.The standard error is equal to the standard deviation of the overall population divided by the square root of the sample size.

B.The standard error is equal to either 1.97 or 2.57.

C.The standard error is equal to the sample mean times the sample size.

D.The central limits theorem tells us nothing about the standard deviation of the sampling distribution of means, or standard error.

Question 8

Which of the following symbol labels is NOT correct?

A.Standard Deviation of the Population

B.sStandard Deviation of the Sample

C.nSample Size

D. Mean of the Sample

Question 9

If the mean of a sample is 50 and the standard deviation of the sample is 15, what Z score corresponds to a raw score of 35?

a.+1.5

b. -1.5

c. +1.0

d.- 1.0

Question 10.

http://davidmlane.com/hyperstat/z_table.html

Use the interactive website to determine what percent of the cases in the variable distribution described in Question 9 (Mean = 50SD = 15) fall below the raw score of 35.

a..1586%

b.15.86%

c..7344%

d.73.44%

Question 11

Given the variable distribution described in Question 9 (Mean = 50SD = 15), what z score corresponds to a raw score of 65?

a.+1.5

b.+.5

c. +1.0

d.-1.0