When performing a bootstrap, some values from the original data set may get chosen far more than others in a replicate.

Name: When performing a bootstrap, some values from the original data set may get chosen far more than others in a replicate.
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In bootstrap sampling, each sample is chosen randomly with replacement from the original dataset, which means some values may be selected multiple times while others might not be selected at all in a given replicate.

When Performing a Bootstrap, Some Values from the Original Data