Discussion

Throughout our study, we had multiple weaknesses present. One weakness we came across was the students’ schedules. One student does not regularly attend the high school, so we were unable to distribute a survey to them. Many of the surveys sent out were to seniors, and seniors do not have a lunch study hall. Therefore, we had to send the surveys to their lunch period, if they did not have any other study hall scheduled. This was a weakness because it makes it more difficult to locate the student, hand out the survey, and receive it back. Another weakness present in our study was the insufficient amount of blondes who were part of the study. Most of our responses were from non-blondes.This presents a weakness in our study because the number of blondes and number of non-blondes being surveyed for their average GPA was unproportionally unequal. Having the same number of blondes and non-blondes surveyed could have changed our results and made them more accurate. Also, when receiving our surveys back, we noticed that a lot of students neglected to list their average GPA, leaving it blank. However, they did place a checkmark indicating their natural hair color. These handful of surveys were useless to us while doing this study, and we had to set them aside and discard them completely. Lastly, after sending out 100 surveys, we did not receive all 100 back . We had only gotten about 70 back in response.

We can first extrapolate our results to all of North Olmsted High School with the information we have analyzed with our 100 student sample size. From those 100 students, we can extrapolate our data to the school as a whole. Also, we can further extrapolate our results to all co-ed high schools because North Olmsted High School is representative of other high schools. All students are in the grades of 9-12, and majority of high school students are of the same age and education level. For further work in the area of our topic of hair color vs GPA, we would suggest to survey a larger sample. Having a larger sample increases the number of responses received, and also increases the number of blondes being surveyed. This can improve the blonde to non-blonde ratio and present more accurate results for representation.