If

is a random sample from a distribution with finite mean

and variance

, then the central limit theorem asserts that the density function of

approaches a standard normal density as

. If the underlying distribution is a

distribution with one degree of freedom, the density function of

can be derived exactly (see the details). This Demonstration compares that density (purple) with a standard normal density (blue) for various values of

.