1.The standard deviation of the distribution of the sample mean is called the _____

A. standard error of the proportion

B. standard error of the mean

C. mean deviation

D. central variation

2.The mean volume for a bottle of cologne is 4 ounces and the standard deviation is 0.22 ounces. A random sample of 121 bottles is taken. What is the standard error of the mean?

A. 0.3636

B. 0.0331

C. 0.0200

D. 4.000

3.The mean volume for a bottle of cologne is 4 ounces and the standard deviation is 0.22 ounces. A random sample of 121 bottles is taken. What is the probability of obtaining a sample mean within 0.03 ounces of the population mean?

A. 0.1074

B. 0.5000

C. 0.8664

D. 0.9332

4.What happens as the sample size increases?

A. The standard deviation of the population decreases.

B. The population mean increases.

C. The standard error of the mean decreases.

D. The standard error of the mean increases.

5.As a general rule, the sampling distribution of the proportion can be approximated by a normal probability distribution whenever what condition(s) hold(s)?

A. np > 5

B. n(1-p) > 5

C. n > 30

D. np > 5 and n (1-p) > 5