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 c bar = 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 c bar= 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 c bar = 720 and s = 24. An approximate 95% confidence interval is estimate for the population total is

1.   ?    70,000 to 74,000
2.   ?    71,200 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:
N₁ = 100, n₁ = 30, ^pbar chart₁ = .2, N₂ = 150, n₂ = 40, ^pbar chart₂ - .5; N₃ = 180, n₁ = 45, ^pbar chart₃ = .4. The number of elements in the population is

1.   ?    115
2.   ?    450
3.   ?    545
4.   ?    430

A stratified simple random sample provided these results:
N₁ = 100, n₁ = 30, ^p bar chart₁= .2, N₂ = 150, n₂ = 40, ^pbar chart₂ - .5; N₃ = 180, n₃ = 45, ^pbar chart₃ = .4. 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:
x₁ = 90, a₁ = 12, M₁ = 20; x₂ = 90, a₂ = 15, M₂ = 30; x₃ = 60, a₃ = 13, M₃ = 30. A point estimate of the population mean is given by

1.   ?    .50
2.   ?    3.00
3.   ?    .33
4.   ?    2.00