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Cluster sampling examples. Example 1: Assume that a study with relatively large square fixed area plots of 50 m x 50 m had been carried out, on which all tree positions were mapped. Because the individual plots were relatively large, there were only resources available to measure \(n=10\) sample plots.
Probably the most familiar type of probability sample is the simple random sample, for which all elements in the sampling frame have an equal chance of selection, and sampling is done in a single stage with each element selected independently (rather than, for example, in clusters).