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Amount of Sleep and Gpa in Graduate Students at Ohio

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Amount of Sleep and Gpa in Graduate Students at Ohio
E720 Notebook Assignment: Correlation

Kandell 1

Amount of Sleep and GPA in Graduate Students at Ohio University Many graduate students may not be receiving enough sleep at night. With increased workloads and responsibilities many students are forced to sacrifice their sleep hours to keep up with the work. This means that students are forced to stay up later and get up earlier. It has been found that lack of sleep can reduce ones mental capabilities like a lack of focus. With graduate students getting less sleep it may be possible that they suffer mentally and see a decline in GPA when compared with someone who receives more sleep. I plan to research whether there is a relationship between the hours of sleep a student gets and his or her GPA. This correlational study involved forty randomly selected people whose hours of sleep were charted and GPA reported. The hours or sleep and the GPA of the students were entered into SPSS 's spread sheet and are shown on the next page.

E720 Notebook Assignment: Correlation

Kandell 2

Dependent and Independent Variables

In correlational analysis we do not call one variable dependent and the other independent. However, Hours of sleep will be placed on the X-axis (abscissa) and GPA will placed on the Y-axis (ordinate) Is there a correlation between Hours of sleep and GPA in graduate students at Ohio University? There is a positive correlation between Hours of sleep and GPA in graduate students at Ohio University. Ho:  0 Ha:  0  = .05 The following parameters determined my sample size: (a) large effect size of  = .50, (b) one-tailed test, (c) 1 = .05, (d) power of .87. These parameters indicated that a sample of 40 people were needed. Assumption (1) The scores of the students are independent of one another. This is a reasonable assumption because the students were selected at random and had no communication with one another. Assumption (2) The pairs of scores follow a bivariate normal distribution. The

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