So i have a question that involves two-sample hypothesis testing. The question will be posted as a comment.
part a) is a breeze,\[H_o: \mu_1-\mu_2=0\]\[H_a: \mu_1>\mu_2\]if you label that mu1 is for exclusive breaststrokers and mu2 is for individual medley
now for part b), what i think is correct is that the rejection region should look like this,\[RR=\left\{ T:\left| T \right| \ge C\right\}=.01\]and if this is correct, then my problem is that i don't understand what kind of n i have for the Bernoulli distribution that this problem is most likely distributed as. Do i add the individual sample sizes, take an average, i'm unsure
for part c), i believe that the appropriate test statistic is a T statistic, considering that the sigma is unknown
Judging by the sample sizes, I think you're intended to use the Z statistic. As for the rejection region ... the null hypothesis is rejected if the calculated Z falls to the left or right of the critical values, \(-Z_{\alpha/2}\) and \(Z_{\alpha/2}\) respectively. |dw:1401497693585:dw| Since \(\alpha=0.01\), we have \(\pm Z_{0.005}=\pm 2.575\). This means the RR would be \(\left\{Z:|Z|>2.575\right\}\).
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