There are TWO (2) types of probability sampling that includes subgroups. __ is when the subgroups are generally important and we WANT to pay attention to them (either to do statistical comparisons or to keep the proportions similar to the population); __ is when the subgroups are generally more arbitrary/not important to compare.Group of answer choicesQuota sampling; cluster samplingCluster sampling; stratified random samplingStratified random sampling; cluster samplingStratified random sampling; quota sapling
Question
There are TWO (2) types of probability sampling that includes subgroups. __ is when the subgroups are generally important and we WANT to pay attention to them (either to do statistical comparisons or to keep the proportions similar to the population); __ is when the subgroups are generally more arbitrary/not important to compare.Group of answer choicesQuota sampling; cluster samplingCluster sampling; stratified random samplingStratified random sampling; cluster samplingStratified random sampling; quota sapling
Solution
The correct answer is "Stratified random sampling; cluster sampling".
In stratified random sampling, the subgroups (or strata) are important and we want to pay attention to them. This method involves dividing the population into homogeneous subgroups and then taking a simple random sample from each subgroup.
In cluster sampling, the subgroups (or clusters) are generally more arbitrary and not important to compare. This method involves dividing the population into clusters (groups) and then selecting one or more clusters at random and studying all the members of these clusters.
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