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Question 11.APP.5: The Normal Case (continued) Testing Further Hypotheses About......

The Normal Case (continued) Testing Further Hypotheses About the Mean In reference to Example 11, T(x) = x and Q(θ) is strictly increasing. Therefore, for testing H_{0}\colon\theta\leq\theta_{1}\ \mathrm{or}\ \theta\geq\theta_{2} against H_{A}\colon\theta_{1}\,\lt \,\theta\,\lt \,\theta_{2} at level of significance α, the test to be employed is the one given by (11) and (12)–(13),
\varphi(x_{1},\dots,x_{n})= \begin{cases} 1 & {\mathrm{if~}}C_1\lt V(x_1,\dots,x_n)\lt C_2\\ \gamma_1 & {\mathrm{if~}}V(x_1,\dots,x_n)=C_1 \\\gamma_2 & {\mathrm{if~}}V(x_1,\dots,x_n)=C_2 \\ 0 & {\mathrm{otherwise,}} \end{cases} \qquad(11)

E_{\theta_{1}}\varphi(X_{1}{,\,\dots\,,X_n})= P_{\theta_{1}}[C_{1}\lt V(X_{1},\,\dots\,,X_{n})\lt C_{2}] +\gamma_{1}P_{\theta_{1}}[V(X_{1}{,\,\dots\,,\,X_{n}})= C_{1}] +\gamma_{2}P_{\theta_{1}}[V(X_{1},\ldots,X_{n})=C_{2}]=\alpha,\qquad(12)

 

E_{\theta_{2}}\varphi(X_{1}{,\,\dots\,,\,X_n})= P_{\theta_{2}}[C_{1}\lt V(X_{1},\,\dots\,,X_{n})\lt C_{2}] +\gamma_{1}P_{\theta_{2}}[V(X_{1},\dots,X_{n})=C_{1}] +\gamma_{2}P_{\theta_{2}}[V(X_{1},\ldots,X_{n})=C_{2}]=\alpha.\qquad(13)

which here becomes (\gamma_{1}=\gamma_{2}=0);

\varphi(x_{1},\dots,x_{n})= \begin{cases} 1 & {\mathrm{if~}} C_1\leq\textstyle\sum_{i=1}^{n}x_{i}\leq C_2\\ 0 & {\mathrm{otherwise,}} \end{cases} \qquad(35) \\ E_{\theta_{1}}\varphi(X_{1},\dots, X_{n})=P_{\theta_{1}}{\Biggl(}C_{1}\leq\sum\limits_{i=1}^{n}X_{i}\leq C_{2}{\Biggr)}=\alpha,

(36)

{ E}_{\theta_{2}}\varphi(X_{1},\dots,X_{n})=P_{\theta_{2}}\!\left(C_{1}\leq\sum\limits_{i=1}^{n}X_{i}\leq C_{2}\right)=\alpha,

and \textstyle\sum_{i=1}^{n}X_{i}\sim N(n\theta_{i},n\sigma^{2}),\,i=1,2.
For the purpose of utilizing the Normal tables, (36) are rewritten thus:

\Phi\!\left(\frac{C_{2}-n\theta_{i}}{\sigma\sqrt{n}}\right)-\Phi\!\left(\frac{C_{1}-n\theta_{i}}{\sigma\sqrt{n}}\right)=\alpha,\quad i=1,2.\qquad\qquad(37)

The power of the test is calculated as follows:

\pi_{\varphi}(\theta)=\Phi\!\left(\frac{C_{2}-n\theta}{\sigma\!\sqrt{n}}\right)-\Phi\!\left(\frac{C_{1}-n\theta}{\sigma\!\sqrt{n}}\right),\quad(\theta_{1}\lt \theta\lt \theta_2).\qquad\qquad(38)

~~~N u m e r i c a l\:Ex amp l e In reference to Example 4, suppose n=25,\theta_{1}= 1,\theta_{2}=3 ,~\mathrm {and}~\alpha=0.01. For simplicity, let us take σ = 1. 

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