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Does the amount of sleep students get effect their overall test scores?

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Our results would be useful to the school because it shows that student test success can be directly related to how much sleep a student has before he or she takes a test. In which if the students know that it helps them in order to take tests they might do better if they get more sleep.

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At the end of our testing period we found that the test scores were pretty bad the less sleep someone got. Seeing as people who got 2 hours of sleep averaged around a 56 percent. Though the more someone achieved in their sleep the better their test score was. The students who received 8 hours of sleep had the best average of test scores coming in around an 87 percent on the test. Which shows a dramatic increase in success upon how how much sleep the student received.

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We randomized all the students so that each student had an equal chance of being selected for our experiment. In which the general trend was the more sleep someone got the better the overall test score for the student was.

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We matched students up based upon their grade level in which we randomly picked one to receive the placebo which was no hours of sleep and the other to receive a prescribed amount of hours of sleep.

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Our sample size was 20 students in which our margin of error was 22.4 percent which is a pretty big margin of error though this is due to the fact that we only sampled 20 students. In order to reduce the MOE we could do more tests on more students.

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In our experiment we didn't tell the kids how much sleep they got we would wake them up when the amount of sleep they were going to get was reached . This then made our experiment blind because the students don't know how much sleep they got.

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This group got no sleep at all before taking the test.

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To reduce our own bias we used a random number generator in order to pick the students. We numbered them 1 to 20. Some lurking variables could be how good the student is taking tests in general. Depending on how good the person is at taking tests it could effect the results for our test. As well as another lurking variable could be the subject the test was on. Seeing as some students struggle with certain subjects some could've done better than others based on the subject the test was on.

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At the end the one week we compiled all of our data on the test scores the students got based on how much sleep they had received.

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Our explanatory variable was the type of treatment each other 20 students recieved which could be 2, 4, 6, 8 hours of sleep in our case.

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We went to the local high school to conduct this study to test the correlation on all ages of high school students of all grade levels.

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We found 20 high school students that included all the grade levels and ages that attend the high school which range from 15 to 18 years of age as well as from freshmen to seniors.

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20 students were chosen in which 5 students each out of the 20 we had picked were going to receive the different treatments of 2 hours, 4 hours, 6 hours, and 8 hours of sleep.

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We will replicate this study on 20 new students of all ages and grade levels within the school more times in order to increase the credibility of the results of the experiments.