Let (X1,X2,dots,Xn) be a random sample from N(mu,sigma^2), then the distribution of ns^2/sigma^2, where s^2=dfrac1nsumi=1^n(Xi-bar X)^2, is

Q24Section I (Objective (Q1–Q80))24 of 80

Statistics — distribution of the sample variance

Let $(X_1,X_2,\dots,X_n)$ be a random sample from $N(\mu,\sigma^2)$ , then the distribution of $\dfrac{ns^2}{\sigma^2}$ , where $s^2=\dfrac1n\sum_{i=1}^n(X_i-\bar X)^2$ , is

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