QUESTION IMAGE
Question
you wish to test the following claim ($h_a$) at a significance level of $alpha = 0.10$. $h_0:p_1 = p_2$ $h_a:p_1 < p_2$ the 1st populations sample has 89 successes and a sample size = 447. the 2nd populations sample has 59 successes and a sample size = 264. what is the test statistic (z - score) for this sample? (round to 3 decimal places.) test statistic = what is the p - value for this sample? (round to 3 decimal places.) p - value = the p - value is... greater than $alpha$ less than (or equal to) $alpha$ this test statistic leads to a decision to... accept the null reject the null fail to reject the null as such, the final conclusion is that... there is not sufficient sample evidence to support the alternate hypothesis claim that p1 < p2. the sample data support the alternate hypothesis claim that p1 < p2.
Step1: Calculate sample proportions
Let $\hat{p}_1=\frac{x_1}{n_1}$, where $x_1 = 89$ and $n_1=447$, so $\hat{p}_1=\frac{89}{447}\approx0.199$. Let $\hat{p}_2=\frac{x_2}{n_2}$, where $x_2 = 59$ and $n_2 = 264$, so $\hat{p}_2=\frac{59}{264}\approx0.223$. The pooled - proportion $\hat{p}=\frac{x_1 + x_2}{n_1 + n_2}=\frac{89+59}{447+264}=\frac{148}{711}\approx0.208$.
Step2: Calculate the test - statistic
The formula for the z - test statistic for two - proportion test is $z=\frac{\hat{p}_1-\hat{p}_2}{\sqrt{\hat{p}(1 - \hat{p})(\frac{1}{n_1}+\frac{1}{n_2})}}$. Substitute the values: $\hat{p}_1\approx0.199$, $\hat{p}_2\approx0.223$, $\hat{p}\approx0.208$, $n_1 = 447$, $n_2=264$.
Step3: Calculate the p - value
Since $H_a:p_1 Since $\alpha = 0.10$ and p - value $\approx0.223>0.10$, we fail to reject the null hypothesis. There is not sufficient sample evidence to support the alternate hypothesis claim that $p_1Step4: Make a decision
Step5: State the conclusion
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test statistic = - 0.762
p - value = 0.223
The p - value is greater than $\alpha$
This test statistic leads to a decision to fail to reject the null
As such, the final conclusion is that There is not sufficient sample evidence to support the alternate hypothesis claim that $p_1 < p_2$.