Could someone please clarify why in Chi-squared and F-statistic calculation formulas sample variances are used as $s^2$ and not $s^2/n$ (like in Z or t tests)?
$\chi^2 = \frac{(n-1)s^2}{\sigma^2} $
$F = \frac{s^2_1}{s^2_2}$
Could someone please clarify why in Chi-squared and F-statistic calculation formulas sample variances are used as $s^2$ and not $s^2/n$ (like in Z or t tests)?
$\chi^2 = \frac{(n-1)s^2}{\sigma^2} $
$F = \frac{s^2_1}{s^2_2}$