For our initial statistical tests on our data, we did three t-tests. The first comparing male and female admissions, the second comparing the number of male and females that attend, and the third comparing the number of male and female applications. We ran these tests because we were looking to see if there was a correlation between the difference in males and females applying/admitted/attending ASP per year. All three p-values were very small; 6.294e-07 for applications, 2.291e-13 for admits and 8.715e-11 for attending. Based on these tiny p-values, one would like to assume that they are statistically significant chances. However, p-values do not really tell us if it happens by chance, but rather whether the data is worth publishing. While the p-value does help professionals decide whether or not to publish a study, it should not be the deciding factor, just a part of the decision.
We should have added in our actual results. Sorry!!!
ReplyDeleteWe should have added in our actual results. Sorry!!!
ReplyDeleteGraphics would help display your findings well
ReplyDeleteYou might want to explain the implications of your findings--do females have a statistically significant difference in chance of admissions? You might also want to explore the achievement differences between male and female applicants. Are these differences significant as well?
ReplyDeleteJess is right, we should have added some visualization to this.
ReplyDeleteSo what are your conclusions thus far? You explain what your p-value is but I still am unclear what that proves. Does it prove that girl dominate all three areas, I don't know? Just in your conclusion add what these p-values prove/help show bout your hypothesis.
ReplyDeleteCould you also look at any difference between the rate of attending ASP of each gender of those who were admitted, as if there is a significant difference in applications and thus in admittance, this would then largely affect the total numbers attending.
ReplyDeleteWhat specifically does the t-test results show as far as what you were trying to compare? What can we conclude from these results?
ReplyDeleteI like that you have pointed out that limitations of the p-value very clearly. It would be helpful to explain the conclusion of this data.
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