Understanding the Central Limit Theorem

Use cases include proper sampling!

As data scientists, we are constantly designing experiments that require surveying a population of something. Oftentimes, however, the population we are testing, whether it be patients with illness, likely voters in a district, or animal populations, the population is just too big to test them all. Or testing them all would require extensive time and or too much money spent, which is not possible.

So what to do in that case? We sample from the population. It sounds simple, but there are important…