Rule of Thumb For Central Limit Theoram

Generally, the Central Limit Theoram is used when the sample size is fairly big, usually larger than or equal to 30. In some cases even if the sample size is less than 30 central limit theoram still holds but for this the population distribution should be close to normal or symmetric.

Statistics is an important part of Data science projects. We use statical tools whenever we want to make any inference about the population of the dataset from a sample of the dataset, gather information from the dataset, or make any assumption about the parameter of the dataset. In this article, we will talk about one of the important statical tools central limit theorem.