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Conduct a test at the a = 0.10 level of significance by determining (a) the null and alternative hypotheses, (b) the test staWhat is the result of this hypothesis test? O A. Do not reject the null hypothesis because there is not sufficient evidence t

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(a)Here we want to test p_1>p_2 . Hence the appropriate hypothesis from the given options is (B) H_0:p_1=p_2 \,\,Vs\,\,H_1:p_1>p_2 . It is a right tailed test.

(b)Given that

x_1=127,n_1=241,x_2=131,n_2=318,p_1=\frac{127}{241}=0.5270,p_2=\frac{131}{318}=0.4120

Let P=\frac{x_1+x_2}{n_1+n_2}=\frac{127+131}{241+318}=0.46154 .

The test statistic is given by, Z=\frac{p_1-p_2}{\sqrt{\left ( PQ(\frac{1}{n_1}+\frac{1}{n_2}) \right )}}\sim N(0,1) .

The value of the test statistic is Z=\frac{0.5270-0.4120}{\sqrt{\left ( 0.46154\times(1-0.46154)(\frac{1}{241}+\frac{1}{318}) \right )}}=2.701049. =2.70

(c) Since the given test is right tailed test and the test statistics follows standard normal distribution the P value of the test is given by,

P _{value}=P(Z>2.70104)=0.0035.

(d) What is the result of this hypothesis test?

Given that the significance level of the test a = 0.10 , and P value is 0.0035. Since P value is less than the significance level we reject the null hypothesis and hence p_1>p_2 . Hence the correct option is (c) Reject the null hypothesis because there is sufficient evidence to conclude that p_1>p_2 .

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