Sampling Techniques

CHAPTER 7—SAMPLING AND SAMPLING DISTRIBUTIONS

MULTIPLE CHOICE

1. From a group of 12 students, we want to select a random sample of 4 students to serve on a university committee. How many different random samples of 4 students can be selected?
a.|48|
b.|20,736|
c.|16|
d.|495|

ANS: D

2. Parameters are
a.|numerical characteristics of a sample|
b.|numerical characteristics of a population|
c.|the averages taken from a sample|
d.|numerical characteristics of either a sample or a population|

ANS: B

3. How many simple random samples of size 3 can be selected from a population of size 7?
a.|7|
b.|21|
c.|35|
d.|343|

ANS: C

4. Sampling distribution of is the
a.|probability distribution of the sample mean|
b.|probability distribution of the sample proportion|
c.|mean of the sample|
d.|mean of the population|

ANS: A

5. A simple random sample of 100 observations was taken from a large population. The sample mean and the standard deviation were determined to be 80 and 12 respectively. The standard error of the mean is
a.|1.20|
b.|0.12|
c.|8.00|
d.|0.80|

ANS: A

6. A population has a standard deviation of 16. If a sample of size 64 is selected from this population, what is the probability that the sample mean will be within 2 of the population mean?
a.|0.6826|
b.|0.3413|
c.|-0.6826|
d.|Since the mean is not given, there is no answer to this question.|

ANS: A

7. The probability distribution of all possible values of the sample proportion is the
a.|probability density function of |
b.|sampling distribution of |
c.|same as , since it considers all possible values of the sample proportion|
d.|sampling distribution of |

ANS: D

8. In computing the standard error of the mean, the finite population correction factor is used when
a.|N/n > 0.05|
b.|N/n 0.05|
c.|n/N > 0.05|
d.|n/N 30|

ANS: C

9. Convenience sampling is an example of
a.|probabilistic sampling|
b.|stratified sampling|
c.|nonprobabilistic sampling|
d.|cluster sampling|

ANS: C

10. Which