If X1, X2, ......... Xn is a random sample from a normally distributed population with mean µ and variance σ2 and let \(\rm S^2=\frac{\sum\left({X}_i-\overline{{X}}\right)^2}{n-1}\), then \(\rm \frac{{S}^2}{{C}^2}(n-1)\) follows :
1
Chi-square distribution
2
F-distribution
3
t-distribution
4
normal distribution