Explain Central Limit theorem of Statistics to a layman



How would you explain CL theorem in a simplest way possible?



As per central limit theorem, the mean of all samples from the same population will be approximately equal to the mean of the population and also all of the samples will follow an approximately normal distribution pattern with all variances being approximately equal to the variance of the population divided by each sample’s size.

I have written an article and explained the central limit theorem in detail:

Hope this hels!