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

Researchers choose simple random sampling to make generalizations about a population. Major advantages include its simplicity and lack of bias.

Visualizing a simple random sample: Simple Random Sample of Lotto Balls This applet animates the random sampling of lotto balls. The population size can be set anywhere between 1 and 144. Users can ...

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.

This problem can be avoided with descriptive sampling, here proposed as a more appropriate approach in Monte Carlo simulation than simple random sampling. Descriptive sampling is based on a ...

When observations are costly or time-consuming but the ranking of the observations without actual measurement can be done relatively easily, rankedset sampling (RSS) can be employed instead of simple ...

Simple Random Sampling The method of simple random sampling (METHOD=SRS) selects units with equal probability and without replacement. Each possible sample of n different units out of N has the same ...