Which statement about stratified random sampling is true?
Which statement(s) apply to stratified random sampling? Check all that apply.It can provide better estimates than a simple random sample.The researcher needs some knowledge of the population in terms of characteristics relevant to the study.A challenge is that it is necessary to have strata of the same size.Creating strata of similar individuals to sample from reduces variability.It can be difficult to obtain with a very large population.
Which is the best example of selecting a systematic random sample?
Which statement(s) give advantages or disadvantages of systematic random sampling? Check all that apply.The population size does not need to be known.Every member of the population must be listed in order.Making sure each stratum is representative of the population can be difficult.Unknown patterns of differences in the population can be difficult to detect.Every member of a population does not need to be known.
Which best describes the process of selecting a cluster sample?
Which statement(s) are accurate about cluster sampling? Check all that apply.Each member of a cluster needs to share some characteristic important to the study; this can be challenging for the researcher to ensure.It is convenient because groups of individuals located near each other are sampled.It is a more cost-effective and less time-consuming way of sampling.Forming representative clusters can be challenging.Once clusters are identified, participants are easily chosen from within each cluster.
cluster sampling stratified random sampling ✔ systematic random sampling
Which statement identifies the sampling procedure used and gives a valid reason?
✔ cluster samplingstratified random sampling systematic random sampling
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