Everything in basic statistics.

Using the example below, please write a 3-page (minimum) paper, APA style (no outside references needed). This is three pages of content (the three page minimum does not include title page, or references page if needed). I give below the example of some results from a (pretend) research study. In general, the goal of the paper is to explain the statistical tests as though you were trying to help someone unfamiliar with psychological statistics understand why the results mean what they do.

More specifically, you need to:

Interpret the findings – what do they mean in terms of the variables used? Be sure to interpret each of the parameters (i.e., the t value, the p value, the b, the r2, etc.)
Explain the how and the why of your interpretation. (i.e., How can we make the decision to accept or reject the null? How does the process work? Why does r2 mean what it means?) This is your opportunity to demonstrate a depth of understanding and show how the concepts in the class are all connected.
You will be graded based on:

If you interpreted each of the parameters correctly
The accuracy of your explanations
The depth of your explanations—do they show a mastery of the material?
Correct Length
Correct APA formatting
See rubric for more detailed information about grading. Papers must be turned into Canvas by the due date. ONLY doc, docx, or pdf formats will be accepted.
———————————————————————————————————————————————————————————-

In the following example, researchers were curious about the relation between playing tabletop roleplaying games (i.e., Dungeons and Dragons, Pathfinder, etc.) and engagement in prosocial behavior. Key variables included character alignment (whether the character they played in the game was good or evil), number of hours played in the last two weeks, and the number of hours of service performed in a year.

We had 200 participants return the survey. Of them, 100 played as good characters, and the other 100 played as evil. Hours of play had a mean value of 20 hours, with a standard deviation of 10 hours. The mean number of hours of service in a year was 50 with a standard deviation of 12.

Before testing the linear association between hours of play and hours of service, we ran a t-test to see if players of good and evil characters in the sample differed in their number of hours of service given. An independent sample t-test yielded a significant difference, t(198) = 11.79, p < .001, d = 1.67 with participants who played good characters having a mean of 60 hours of service, and participants who played evil characters having a mean of 40 hours of service. Based on the results of the t-test, we decided to run the regression for good-playing and evil-playing participants separately. For good character players, there was a significant association, with the number of hours played in the last two weeks predicting the number of hours of service in year, b = 1.75, p = .023, r = .44, intercept = 413, p = .002. For good character players, r2 = .19. For evil character players, the regression failed to reach significance, b = .236, p = .322, r = .10, although the intercept was significant (38, p = .003). For evil character players, r2 = .01.

Last Completed Projects