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?

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 ...

Why bother conducting experiments on treatments for COVID-19 (e.g., chloroquine) instead of relying on anecdotal evidence about their effectiveness? Random assignment is discussed.

Robert Garlick, Academic Peer Effects with Different Group Assignment Policies, American Economic Journal: Applied Economics, Vol. 10, No. 3 (July 2018), pp. 345-369 ...