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High School Athletes

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During high school, students have the opportunity to play some sort of sport whether it is; soccer, football, basketball, rugby, cheerleading, and so on. These times are crucial for students because not only are they signing up to participate in practices and games, but they are signing up to learn how to balance sports and their academic success. Being involved in a sport allows an individual to be surrounded by leadership skills and discipline traits, which in return can improve academic success. Also, a lot of school policies require a certain GPA (grade point average) or a minimum absence count by the student in order to even play. Therefore, the research question is “does the participation in sports create a positive impact on academic …show more content…

Selecting 500 high school athletes around the OKC area represents a small sample of high school athletes in Oklahoma as a whole. If I conducted a t Test and it yields a low probability that the null hypothesis is correct, I will reject the null hypothesis. If I compute and discover a large variance, this will result in a low enough probability to allow rejection of the null hypothesis as well. Before reporting the results of a t Test, I must report the values of the means and also the values of the standard deviations and the number of cases in each group. If I reject the null hypothesis, I will be declaring statistical significance. It is possible that I can find statistical significance, but not practical significance. If I conclude that p is greater than .05 from my data, I unknowingly made a Type II Error because I didn’t reject the null hypothesis, which incorrectly states that there is no difference between the population means. I don’t need to further check for sampling error if my data is independent because there is no pairing or matching of individuals across the two samples. It is necessary to report if my data is independent or dependent because it may have less sampling

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