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?

Previously, I described different sampling methods and explained why random sampling is an important component of researching treatments for COVID-19.