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One-way ANOVA using linear contrasts:
A statistics professor was interested in the difference various study methods would have on students' performance on the midterm exam. He established four treatment groups: a) no study at all, b) individual study for 1 hour per day, c) individual study for 3 hours per day, and d) 4 hour group study session once per week. The students' scores on the midterm exam are listed below. Analyze the data using linear contrasts to make the following comparisons:
Compute an F-statistic for each linear construct and determine its significance. Also, state what questions each of these contrasts address. Please answer part A by hand and parts B and C using SPSS. Attach only the appropriate output (i.e., cut and paste only the relevant output tables needed to support your answers). Write a paragraph that summarizes your results.
No Study
Individual (1 hour)
Individual (3 hours)
Group Study
40
45
85
80
50
65
60
70
35
55
75
90
Compare groups A and B to group C.
The margin of error for a 95% confidence interval estimate for the proportion of all students with cell phones is
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Compute the range and interquartile range
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Design a Linear programming problem for the flair Furniture Company and find the combination of tables and chairs that the company must produce to maximize profits.
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