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.

What is the difference between representative samples and random samples, and how are they are used to reduce sampling bias?

Stratified Random Sampling – If you suspect there are unique differences between items in your population, you might use this sampling strategy to ensure you get a balanced representation of the ...

Simple random sampling is the foundation for almost every method taught in introductory statistics classes. Many students, however, have difficulty understanding the difference between simple random ...

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 ...