What is CLT theorem and what are its uses

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Accepted Answer

CLT theorem states that the distribution of sample means approaches a normal distribution as sample size increases.

Central Limit Theorem (CLT) is a fundamental concept in statistics that states that the distribution of sample means approaches a normal distribution as the sample size increases.
It is used in hypothesis testing, confidence intervals, and in estimating population parameters.
CLT is essential in making inferences about a population based on sample data.
For example, if you take multiple samples of the same size from a population and calculate the mean of each sample, the distribution of those sample means will be approximately normal according to the CLT.
It allows researchers to make statistical inferences even when the population distribution is unknown or non-normal.

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