In a sample survey, it is common practice to use a Z value of (when approximating a 95% confidence interval)

1.   ?    4
2.   ?    3
3.   ?    2
4.   ?    1
5.   ?    none of the above

The population from which the sample is actually selected is

1.   ?    always the target population
2.   ?    the census
3.   ?    the selected sample
4.   ?    the sampled population
5.   ?    none of the above

The target population and the sampled population

1.   ?    are always the same
2.   ?    are not always the same
3.   ?    must be the same for the results to be accurate
4.   ?    none of the above

Probabilistic sampling is any method of sampling in which

1.   ?    the probability of the occurrence of various events in the study are known
2.   ?    there are only two possible outcomes, such as P(A) and P(Ac)
3.   ?    the probability of obtaining each possible sample can be computed
4.   ?    the probability of each possible sample is one
5.   ?    none of the above

The error that occurs because a sample, and not the entire population, is used to estimate a population parameter is a

1.   ?    nonsampling error
2.   ?    sampling error
3.   ?    judgment error
4.   ?    standard error
5.   ?    none of the above

Which of the following sampling methods is a probabilistic sampling method?

1.   ?    judgment sampling
2.   ?    convenience sampling
3.   ?    both a and b
4.   ?    cluster sampling
5.   ?    none of the above

Stratified random sampling is a method of selecting a sample in which

1.   ?    the sample is first divided into strata, and then random samples are taken from each stratum
2.   ?    various strata are selected from the sample
3.   ?    the population is first divided into strata, and then random samples are drawn from each stratum
4.   ?    none of the above

Cluster sampling is

1.   ?    a nonprobability sampling method
2.   ?    the same as convenience sampling
3.   ?    a probability sampling method
4.   ?    none of the above

With nonprobabilistic sampling

1.   ?    it is possible to make estimates about the precision of the population parameters.
2.   ?    it is not possible to make statements about the precision of estimates made concerning the population parameters.
3.   ?    the precision can be estimated if the sample is larger than 30.
4.   ?    none of the above

Errors such as measurement error, processing error, and interviewer error are

1.   ?    sampling errors
2.   ?    nonsampling errors
3.   ?    could be either sampling or nonsampling errors
4.   ?    impossible to detect
5.   ?    none of the above