The larger the sample size, the more normal the distribution of sample means becomes. This is central to the concept of statistical inference because it permits us to draw conclusions about the population based strictly on sample data without having knowledge about the distribution of the underlying population. This result is well known as

Approximation Theorem

Mean Value Theorem

Central Limit Theorem

Estimation Theorem