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.

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

A simple random sample is a fundamental sampling method where each member of a population has an equal chance of being selected, ensuring that the sample accurately represents the population.

This example illustrates how you can use PROC SURVEYMEANS to estimate population means and proportions from sample survey data. The study population is a junior high school with a total of 4,000 ...

M. Ruiz Espejo, Housila P. Singh, Covariance of Sample Moments for Simple Random Sampling with Replacement of a Finite Population, Mathematical Proceedings of the Royal Irish Academy, Vol. 99A, No. 2 ...