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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