Power interval of a chi-square scale test

Let $X_1,X_2,…,X_{10}$ be a random sample from a $N(0,\sigma^2)$ distribution, where $\sigma>0$ is unknown. For testing $H_0:\sigma^2\le 1$ against $H_1:\sigma^2>1$, a test of size $\alpha=0.05$ rejects $H_0$ if and only if $\sum_{i=1}^{10}X_i^2>18.307$. Let $\beta$ be the power of this test, at $\sigma^2=2$. Then $\beta$ lies in the interval (You may use $\chi^2_{10,0.05}=18.307$, $\chi^2_{10,0.1}=15.9872$, $\chi^2_{10,0.25}=12.5489$, $\chi^2_{10,0.5}=9.3418$, $\chi^2_{10,0.75}=6.7372$, $\chi^2_{10,0.9}=4.8652$, $\chi^2_{10,0.95}=3.9403$, $\chi^2_{10,0.975}=3.247$)