Central Limit Theorem, or CLT, is a statistical theory stating that as the size of a sample grows, the results tend to approximate a normal distribution of results. Read more here.

T-Distribution: This type of sampling distribution is common in cases of small sample sizes. It may also be used when there is very little information about the entire population.