Posted by Evan on Monday, November 26, 2012 at 5:34pm.
Hi there, I was looking for any assistance or help on how I would go about starting this assignment? Having difficulty understanding it. Thank you in advance.
"A stats instructor is interested in investigating time of day his lectures were held on student' test scores. He selected a sample of 15 students from his morning (n=7) and evening (n=8) statistics classes and recorded their midterm and final exam scores (shown below). He was interested in examining whether students performed better in morning vs. evening classes on their final exam scores. He also suspected poorer performance on the final exam compared to the midterm among those attending the morning class.
Morning Class (n=7):
Midterm  Final
80  59
80  64
75  65
92  70
78  67
79  58
69  79
Evening Class (n=8):
Midterm  Final
62  40
70  45
80  55
78  55
84  60
64  70
84  60
64  70
84  60
64  70
84  60
70  63
The instructor was also curious about what type of exam students preferred to receive in the course (multiple choice or shortanswer). He observed the morning class, 6 students preferred multiple choice exams. Evening class, 2 students preferred multiple choice. Does he have evidence that 50% of the students preferred multiple choice exams in the evening class? Finally, can the instructor conclude that there is a relation between test type preference and time of class? If yes, please measure the strength of the relation."

Statistics help?  PsyDAG, Monday, November 26, 2012 at 7:02pm
We do not do your homework for you. Although it might take more effort to do the work on your own, you will profit more from your effort. We will be happy to evaluate your work though.
Are you going to consider the mid and final test scores separately or pool them?
Find the mean first = sum of scores/number of scores
Subtract each of the scores from the mean and square each difference. Find the sum of these squares. Divide that by the number of scores to get variance.
Standard deviation = square root of variance
Z = (mean1  mean2)/standard error (SE) of difference between means
SEdiff = √(SEmean1^2 + SEmean2^2)
SEm = SD/√n
If only one SD is provided, you can use just that to determine SEdiff.
Find table in the back of your statistics text labeled something like "areas under normal distribution" to find the proportion related to the Z score.
I'll let you do the calculations.
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