Discussion
Weaknesses
There were a few weaknesses in my study. Fist of all, there was response bias may have played a role in some of the responses if students answered the question only as they expected to be answered. Also for my study, it was required to know the gender of the student; however, on multiple surveys returned, there was no gender selected. These surveys were not included in the testing. Also, when minitab computed the data, I had it create a normality graph for both males and females. In both graphs, neither looked to be normal. However, both males and females had two outliars on the upper half, so if you remove those two outliars from the graphs, then they will be fairly normal.
Extrapolate
This can only be extrapolated to schools in a suburban area who have the same technology policy as North Olmsted High School. It can only be extrapolated to suburban areas because other more rural areas may have less acess to means to be able to acess sports. We can only extrapolate to school that have the same technology policy as North Olmsted because wheter or not students have access to technology during school may or may not effect the amount of time they spend watching sports every week.
Suggestions
To reduce the number of times a survey was returned without placing a gender, place the gender question at the top and right in the middle. Also make this part of the survey realtively big so students are less likely to miss it or skip it. Also to make the answers seem more normal with less outliars, I could have make the intervals smaller, with a range of only about 0-6+ eliminating the 7+ category and removing outliars.