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

Simple random samples are determined by assigning sequential values to each item within a population, then randomly selecting those values.

A simple random sample is used to represent the entire data population. A stratified random sample divides the population into smaller groups based on shared characteristics.

First, you must assign a unique identifier to each item. Then you can use a random number table or a computerized random number generator to select your random samples.