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Fill in the blank with an appropriate word, phrase, or symbol(s). If a sample is drawn in such a way that each time an item is selected, each item in the population has an equal chance of being drawn, the sample is called a(n) _ sample

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(Simple) random sampling\textbf{(Simple) random sampling} uses a sample of size nn in which every sample of size nn has an equal chance of being chosen.

Stratified random sampling\textbf{Stratified random sampling} draws simple random samples from independent subgroups (stratum).

Cluster sampling\textbf{Cluster sampling} divides the population into non-overlapping subgroups (clusters) and some of these subgroups are then in the sample.

Systematic random sampling\textbf{Systematic random sampling} is letting every kkth individual be in the sample (kk an integer).

Convenience sampling\textbf{Convenience sampling} uses a subgroup from the population that has been conveniently chosen.

In this case, each subject in the population has an equal chance of being selected and thus the sample is a random sample\textit{random sample}.

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