If the decision is to reject the null hypothesis of no difference between two population proportions at the 5% level of significance, what are the alternative hypothesis and rejection region?

Respuesta :

Answer:

The alternative hypothesis is

      [tex]H_a : p_1 \ne \ p_2[/tex]

The rejection region is the region outside the interval

         [tex]-1.96 < z_{critical} < 1.96[/tex]

Step-by-step explanation:

From the question we are told that

    The significance level is  [tex]\alpha = 0.05[/tex]

     The null hypothesis is  [tex]H_o : p_1 = p_2[/tex]

      The  alternative hypothesis is  [tex]H_a : p_1 \ne \ p_2[/tex]

Generally from the normal distribution table the critical value  of  [tex]\frac{\alpha }{2}[/tex] is  

   [tex]Z_{\frac{\alpha }{2} } =  1.96[/tex]

Hence the rejection region is the region outside the interval [tex]-1.96 < z_{critical} < 1.96[/tex]

The alternative hypothesis is, [tex]H _a; \ P_1\neq P_2[/tex] .

And the rejection region is the region outside the interval is [tex]-1.96< Z_c_r_i_t_i_c_a_l <1.96[/tex] .

Given that,

If the decision is to reject the null hypothesis of no difference between two population proportions at the 5% level of significance.

We have to determine,

What is the alternative hypothesis and rejection region?

According to the question,

The significance level is,  [tex]\alpha = 5 \ percent = 0.05[/tex]

The null hypothesis is [tex]H_0 ; P_1 = P_2[/tex]

The alternative hypothesis is, [tex]H _a; \ P_1\neq P_2[/tex]

In the normal distribution table, the critical value [tex]\dfrac{\alpha}{2}[/tex] is,

[tex]Z _\frac{\alpha}{2} = 1.96[/tex]

Hence, the rejection region is the region outside the interval is [tex]-1.96< Z_c_r_i_t_i_c_a_l <1.96[/tex] .

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