How small a variance?

In the tuning-fork example, 7 forks are tested, H_0:\sigma^2=1.1 and H_1:\sigma^2<1.1, at level 0.05. Using \chi^2_{6;0.05}=1.635, find the largest sample variance that leads to rejection. What is the power of this test if the true variance is 0.3?

The test rejects when 6s^2/1.1\le1.635, that is when s^2\le1.635\times1.1/6=0.300.

If the true variance is 0.3, then 6s^2/0.3\sim\chi^2_6, and the power is

\mathbb{P}(s^2\le0.300)=\mathbb{P}\Bigl(\frac{6s^2}{0.3}\le\frac{6\times0.300}{0.3}\Bigr)=\mathbb{P}(\chi^2_6\le5.995)\approx0.58.

Even a reduction of the variance to less than a third of its old value is detected only a little more than half the time with 7 forks.