5. If random variables $X_1, X_2, \dots, X_n$ are i.i.d. $N(\mu, \sigma^2)$, and $S^2$ is their sample variance. Then, the distribution of $\frac{(n-1)S^2}{\sigma^2}$ is (6).

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