# What is the advantage of central limit theorem in sampling?

If the distribution is not known when sampling, providing the sample size is $n > 30$ the Central Limit theorem states that the sample mean follows an approximate Normal distribution. Since we have known calculated values for the normal this theorem is useful in sampling from unknown distributions.