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

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.

True experiments, unlike anecdotal evidence, often require random sampling and random assignment. In this post, I try to explain the importance of random sampling; in my next post, I will explore ...