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Inspectors for a hospital chain with multiple locations randomly select some of their locations for a cleanliness check of their operating rooms. The inspectors check every operating room in the hospitals that were chosen.*1 pointSimple randomStratified randomCluster samplingSystematic sampling

Question

Inspectors for a hospital chain with multiple locations randomly select some of their locations for a cleanliness check of their operating rooms. The inspectors check every operating room in the hospitals that were chosen.*1 pointSimple randomStratified randomCluster samplingSystematic sampling

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Solution

The sampling method used in this scenario is Cluster sampling.

Here's why:

In cluster sampling, the researcher divides the population into separate groups, called clusters. Then, a simple random sample of clusters is selected from the population. The researcher conducts their analysis on data from the sampled clusters.

In this case, the hospital chain (the population) is divided into separate groups (the hospitals - the clusters). Some hospitals are randomly selected, and every operating room (every member of the selected clusters) in those hospitals is checked. This is a classic example of cluster sampling.

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