A simple random sample is a subset of a statistical population where each member of the population is equally likely to be chosen.

Learn how simple random sampling works and what advantages it offers over other methods when selecting a research group from a larger population.

Example 62.2: Simple Random Cluster Sampling This example illustrates the use of regression analysis in a simple random cluster sampling design. The data are from S rndal, Swenson, and Wretman (1992, ...

In simple random sampling, each unit has an equal probability of selection, and sampling is without replacement. Without-replacement sampling means that a unit cannot be selected more than once.

The results obtained by the authors so far on controlled sampling with equal probabilities and without replacement have been consolidated in this paper in an integrated fashion. Utilizing these ...

Simple random sampling – In this sampling method, each item in the population has an equal probability of getting selected in the sample. First, you must assign a unique identifier to each item.

In this paper we derive the exact covariance of some sample moments for 'simple random sampling with replacement' (SRSWR) of a finite population. An application of the results is given for estimating ...