A random sample of n observations is selected from a normal population to test the null hypothesis that ${\mathit{\sigma }}^{\mathbf{2}}\mathbf{=}\mathbf{25}$. Specify the rejection region for each of the following combinations of ${\mathit{H}}_{\mathbf{a}}\mathbf{,}\mathit{\alpha }$and $\mathit{n}$.

a.${\mathit{H}}_{\mathbf{a}}\mathbf{:}{\mathit{\sigma }}^{\mathbf{2}}\mathbf{\ne }\mathbf{25}\mathbf{;}\mathit{\alpha }\mathbf{=}\mathbf{0}\mathbf{.}\mathbf{5}\mathbf{;}\mathit{n}\mathbf{=}\mathbf{16}$

b.${\mathit{H}}_{\mathbf{a}}\mathbf{:}{\mathit{\sigma }}^{\mathbf{2}}\mathbf{>}\mathbf{25}\mathbf{;}\mathit{\alpha }\mathbf{=}\mathbf{.}\mathbf{10}\mathbf{;}\mathit{n}\mathbf{=}\mathbf{15}$

c.${\mathit{H}}_{\mathbf{a}}\mathbf{:}{\mathit{\sigma }}^{\mathbf{2}}\mathbf{>}\mathbf{25}\mathbf{;}\mathit{\alpha }\mathbf{=}\mathbf{.}\mathbf{01}\mathbf{;}\mathit{n}\mathbf{=}\mathbf{23}$

d. ${\mathit{H}}_{\mathbf{a}}\mathbf{:}{\mathit{\sigma }}^{\mathbf{2}}\mathbf{<}\mathbf{25}\mathbf{;}\mathit{\alpha }\mathbf{=}\mathbf{.}\mathbf{01}\mathbf{;}\mathit{n}\mathbf{=}\mathbf{13}$

e. ${\mathit{H}}_{\mathbf{a}}\mathbf{:}{\mathit{\sigma }}^{\mathbf{2}}\mathbf{\ne }\mathbf{25}\mathbf{;}\mathit{\alpha }\mathbf{=}\mathbf{.}\mathbf{10}\mathbf{;}\mathit{n}\mathbf{=}\mathbf{7}$

f. ${\mathit{H}}_{\mathbf{a}}\mathbf{:}{\mathit{\sigma }}^{\mathbf{2}}\mathbf{<}\mathbf{25}\mathbf{;}\mathit{\alpha }\mathbf{=}\mathbf{.}\mathbf{05}\mathbf{;}\mathit{n}\mathbf{=}\mathbf{25}$

Rejection Region holds significance in the sense that whenever a numerical value of the test statistic falls in the rejection region, the null hypothesis is rejected.

Chi-square distribution depends on $(n-1)$degrees of freedom. With $\alpha =0.05$and $(n-1)=15$, the ${\chi }^2$value for rejection is found in Table IV of Appendix D.

Since this is a two-tailed test, therefore we have ${\chi }^2<6.26214$or ${\chi }^2>27.4884$which are the values for the two tailed rejection region.

With $\alpha =0.01,n=23$, we have $(n-1)=22$.

Therefore, the rejection value will be ${\chi }^2>40.2894$.

With $\alpha =0.10,n=15$, we have $(n-1)=14$.

Therefore, the rejection value will be ${\chi }^2>21.0642$.

With $\alpha =0.01,n=13$, we have $(n-1)=12$

Therefore, the rejection value will be ${\chi }^2<3.57056$.

With $\alpha =0.10,n=7$, we have $(n-1)=6$.

Since this is a two-tailed test, therefore the values for rejection will be ${\chi }^2<1.63539$or ${\chi }^2>12.5916$.

With $\alpha =0.05,n=25$, we have $(n-1)=24$.

Therefore, the rejection value will be${\chi }^2<13.8484$.