Two different simple random samples are drawn from two different populations. The first sample consists of 20 people with 11 having a common attribute. The second sample consists of 2200 people with 1546 of them having the same common attribute. Compare the results from a hypothesis test of p1=p2 (with a 0.05 significance level) and a 95% confidence interval estimate of p1-p2. Test Statistics is -1.49. Identify the critical value(s). (Round to three decimals) Test statistics in/not in the critical region. So, do we reject/fail to reject? Is there sufficient/not sufficient evidence? Since 0 is not included/included, does it indicate to reject/fail to reject the null hypothesis? The results are the same/not the same since the hypothesis test suggests p1 does equal/does not equal p2. and the confidence intervals suggest that p1 equals/not equal p2?
Two different simple random samples are drawn from two different populations. The first sample consists of 20 people with 11 having a common attribute. The second sample consists of 2200 people with 1546 of them having the same common attribute. Compare the results from a hypothesis test of p1=p2 (with a 0.05 significance level) and a 95% confidence
Test Statistics is -1.49.
Identify the critical value(s). (Round to three decimals)
Test statistics in/not in the critical region.
So, do we reject/fail to reject?
Is there sufficient/not sufficient evidence?
Since 0 is not included/included, does it indicate to reject/fail to reject the null hypothesis?
The results are the same/not the same since the hypothesis test suggests p1 does equal/does not equal p2. and the confidence intervals suggest that p1 equals/not equal p2?
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