Scientific Questionnaire

Mackenzie Davis & Joseph Chen (Period 6)

Question: Does gender affect the number of hours spent on homework?

Hypothesis: Gender does not have an effect on the number of hours spent on homework.

Type of Investigation

This is a comparative investigation because it covers most aspects of an experiment. The only difference is that it does not have a control variable (as there is no such thing as a gender-less being).

Parts of the Experiment

Experimental Group: boys and girls ages 15-18 who get A's & B's and take a minimum of four Advanced Placement courses

Independent Variable: gender

Dependent Variable: hours spent on homework

Control Group: none

Constants: age, type of student (grades), rigor of classes (amount of AP classes), exclusion of students participating in band, (no equipment)

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2± SEM Graph

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Range Error Bar Graph

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Analysis

Gender does not have an effect on the hours spent on homework. As shown by the data, the females had an average of 4.15 hours and the males had an average of 3.54 hours. In order for two variables to be statistically significant, the p-value - solved from the TTEST - must be at five percent or lower. However - on the data based above - the p-value is around eight percent, which clearly proves that the data is not statistically significant. The reason being for this occurrence is that each AP course has relatively the same workload. Since the data from the two different genders had a minimum grade and AP course requirement, it would be highly unlikely that there would be a difference in hours spent studying between the two genders. In addition, most students spend their time on different activities, such as watching television, eating dinner, and sleeping. Given the fact that those who surveyed have similar amount of advanced courses and high grade standards, there should be no surprise in regards to males and females having similar hours spent on studying.

Conclusion

The hypothesis of this experiment was proved to be correct. The testing provides evidence that shows gender does not have a significant difference on the amount of time spent on homework.

Sources of Inaccuracies/Errors

In most cases of an experiment, there will always be sources of both inaccuracies and errors. Among the things that could have skewed the data are level of importance in regards to education, race, and strength of memory. For example, those who have photographic memories will not require as much time as the average person to study due to the fact that they are able to quickly implant the information into their head. In many Asian cultures, there is a strong support for education. Asian parents are more likely to encourage their children to work more, while western parents are more likely to urge their children to participate in activities outside of school such as volunteering or hanging out with friends.

Bibliography

"Coppell High School Student Body." U.S. News World Report, 2013. Web. 8 Sept. 2015. <http://www.usnews.com/education/best-high-schools/texas/districts/coppell-independent-school-district/coppell-high-school-18860/student-body>.


Hanson, Lisa. "Open Book." Open Book. Social Science Space, 9 June 2011. Web. 08 Sept. 2015. <http://www.socialsciencespace.com/2012/02/post-phd-careers-plan-b-outside-of-traditional-academia/open-book/>.


"Do Not Confuse Input and Thinking." Leadership Craft. N.p., n.d. Web. 08 Sept. 2015. <http://leadershipcraft.com/do-not-confuse-input-and-thinking/>.


Martin, Jennifer. "Descriptive vs Comparative Investigations." Web. 8 Sept. 2015.<https://drive.google.com/file/d/0B-tXgSx0Khr8VWdpaU1uZUhPUDQ/edit?pli=1>.


"College Planning - Extracurriculars Matter ? To You and to Colleges."College Planning - Extracurriculars Matter ? To You and to Colleges. The College Board, n.d. Web. 08 Sept. 2015. <https://bigfuture.collegeboard.org/get-started/outside-the-classroom/extracurriculars-matter-to-you-and-to-colleges>.


Martin, Jennifer. Designing a Scientific Questionnaire Online Poster. N.p.: n.p., n.d. PDF.


Martin, Jennifer. Designing a Scientific Questionnaire. N.p.: n.p., n.d. PDF.