## Question

###### The critical score(s) (the value(s) for t that separate(s) the tail(s) from the main body of the distribution, forming the critical region) is/areTo calculate the test statistic, you first need to calculate the estimated standard error under the assumption that the null hypothesis is true Theestimated standard error isThe test statistic is t =Use the tool to evaluate the null hypothesis (Note: You can place the purple Iine on your statistic to tell whether it Iies within or outside the critical

The critical score(s) (the value(s) for t that separate(s) the tail(s) from the main body of the distribution, forming the critical region) is/are To calculate the test statistic, you first need to calculate the estimated standard error under the assumption that the null hypothesis is true The estimated standard error is The test statistic is t = Use the tool to evaluate the null hypothesis (Note: You can place the purple Iine on your statistic to tell whether it Iies within or outside the critical region It's possible that this line may not rest exactly on the statistic_ but vou will be able to tell whether it lies within or outside the critical region ) The statistic in the critical region for two-tailed hypothesis test: Therefore_ the null hypothesis Is The graduate student conclude that playing video games alters peripheral visual perception_ The graduate student repeats his study with another random sample of the same size. Thls time, Instead of the treatment belng playing the combat simulation video game, the treatment is playing soccer video game: Suppose the results are very similar After playing soccer video game, the mean score was still 0.04 higher, but this time the standard deviation of the difference was 0.10 (vs_ the original standard deviation of 0.08) This means has the more consistent treatment effect: This difference In the standard deviation also means that 95% confidence interval of the mean difference would be for the original study, when the treatment was playing the combat slmulation video game than the 95% confidence interval of the mean difference for the second study, when the treatment was playing soccer video game_ Finally, this difference In the standard deviation means that when the graduate student conducts hypothesis test testing whether the mean difference is zero for the second study, he will be likely to reject the null hypothesis than he was for the hypothesis test you completed previously for the original study.