Data Analysis, Central Limit Theorem, Statistics, Technology, Normal Distribution.
those sample means will be normally distributed, even if the original data is not normally distributed. This theorem holds true as long as the sample size is sufficiently large. Larger sample sizes lead to a more accurate approximation to a normal distribution. The CLT is widely used in statistics