How do I calculate $P(S^2 > 1.8307(\mathrm{PopVariance}))$ if $n =11$?
I think I should use the Chi square formula:
$$X^2 = \frac{(n-1)s^2}{\mathrm{PopVariance}}$$
But I can't really understand the textbook application of this formula.
How do I calculate $P(S^2 > 1.8307(\mathrm{PopVariance}))$ if $n =11$?
I think I should use the Chi square formula:
$$X^2 = \frac{(n-1)s^2}{\mathrm{PopVariance}}$$
But I can't really understand the textbook application of this formula.
If $Q = \frac{(n-1)S^2}{\sigma^2} \sim \mathsf{Chisq}(n-1)$ and $n = 11,$ then you have $$P(S^2 > 1.8397\sigma^2) = P\left(Q=\frac{10S^2}{\sigma^2} > 18.307\right) = 0.05.$$
My computation below uses R statistical software, but you should be able to find this result in a printed chi-squared table (row $\nu = 10,$ column headed .05 for the tail probability).
1 - pchisq(18.307, 10) # in R, 'pchisq' is a CDF
## 0.05000059