The given probability density function is that of a beta distribution with parameters and . We can derive the required moments directly rather than assuming the beta moment formulas. For an integer , the Euler beta function gives
Here for positive integers ; this identity also follows by repeated integration by parts. Taking yields
Subtract the square of the first moment from the second to obtain the variance:
These are exact finite-sample identities for each uniform order statistic.

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