Chapter 22: Sample Survey

The frame for a sample survey is a list of the units making up the sample.
1. True
2. False
Both probabilistic and nonprobabilistic methods can be used to select a sample.
1. True
2. False
If it is necessary to provide statements about the precision of estimates, a nonprobabilistic sampling method may be used.
1. True
2. False
Judgment sampling is a type of nonprobabilistic sampling.
1. True
2. False
Simple random sampling is a form of probabilistic sampling.
1. True
2. False
A simple random sample of 36 elements from a population of 100 elements yielded = 720 and s = 24. An estimate of the standard error of the mean is
1. 4.00
2. 3.20
3. 10.24
4. 2.56
A simple random sample of 36 elements from a population of 100 elements yielded = 720 and s = 24. An approximate 95% confidence interval estimate for the population mean is
1. 713.60 to 726.40
2. 696 to 744
3. 672 to 768
4. 716.80 to 723.20
A simple random sample of 36 elements from a population of 100 elements yielded = 720 and s = 24. An approximate 95% confidence interval is estimate for the population total is
1. 70,000 to 74,000
2. 71,2000 to 72,800
3. 71,360 to 72,640
4. 71,680 to 72,320
5. 71,600 to 72,320
If N = 1000 and a sample of size 10 is chosen by sampling so that each sample of size 10 has the same probability of being chosen, then the sampling procedure being used is
1. convenience sampling
2. convenience sampling
3. simple random sampling
4. stratified sampling
5. None of the above
If N = 1000 and a sample of size 10 is chosen by choosing a random element between 1 and 100, then choosing every 100th element thereafter (for example, elements 52, 152, 252, ..., 952). The sampling method used is
1. convenience sampling
2. judgment sampling
3. simple random sampling
4. stratified sampling
5. None of the above
Stratified random sampling works well in situations where the variance between strata is large relative to the variance within strata.
1. True
2. False
A stratified simple random sample provided these results:

The number of elements in the population is
1. 115
2. 450
3. 545
4. 430
A stratified simple random sample provided these results:

A point estimate of the population proportion is
1. .200
2. .500
3. .293
4. .305
5. .388
Cluster sampling works well when each cluster is representative of the population.
1. True
2. False
A cluster sample provided the following:

A point estimate of the population mean is given by
1. .50
2. 3.00
3. .33
4. 2.00