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

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

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

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

$\textbf{Convenience sampling}$ 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 $\textit{random sample}$.

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