Aresearcher interested in the effects of humor on memory randomly assigns 16 participants to either the humor group or the no-humor group. the humor group reads humorous sentences and the no-humor group reads non-humorous sentences .on a later memory test, the researcher finds that in terms of the direction of the means, the humor group had better memory than the no-humor group, but this effect was not significant (p = 0.06) what should this researcher do?
a. because the effect, looks as though it is barely missing significance, she can just treat it as though the effect exists and communicate this exciting effect to her colleagues.
b. she can abandon the study of humor on memory because given her results it is obvious that humor has no effect on memory.
c. she can attempt to increase her statistical power by using a two-tailed hypothesis test rather than a one-tailed hypothesis test.
d. because the effect looks as though it is barely missing significance, and her sample size is fairly small, she can increase her sample size to increase her statistical power to detect the effect.

The upcoming championship high school football game is a big deal in your little town. the problem is, it is being played in the next biggest town, which is two hours away! to get as many people as you can to attend the game, you decide to come up with a ride-sharing app, but you want to be sure it will be used before you put all the time in to creating it. you determine that if more than three students share a ride, on average, you will create the app. you conduct simple random sampling of 20 students in a school with a population of 300 students to determine how many students are in each ride-share (carpool) on the way to school every day to get a good idea of who would use the app. the following data are collected: 6 5 5 5 3 2 3 6 2 2 5 4 3 3 4 2 5 3 4 5 construct a 95% confidence interval for the mean number of students who share a ride to school, and interpret the results. part a: state the parameter and check the conditions. part b: construct the confidence interval. be sure to show all your work, including the degrees of freedom, critical value, sample statistics, and an explanation of your process. part c: interpret the meaning of the confidence interval. part d: use your findings to explain whether you should develop the ride-share app for the football game.