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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 constrast 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 group A to groups B, C, and D.
A simple random sample of 1000 Americans found that 61% were satisfied with the service provided by the dealer from which they bought their car.
This model is fit to the data using the method of least squares using statistical software, and the following ANOVA table is obtained
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Which statement is true for a statistical study?
An advantage of the permutation test over the t test for a difference in means is that - distribution interval or a bootstrap percentile interval
Find the standard error of the difference in sample means,
The Wilcoxon rank sum of the ranks for group and The value of the Wilcoxon signed rank statistic
For all questions, clearly explain/show your answers. For the Analysis section, justify your answers with the appropriate graphs, statistics, equations, etc.
What happens to the expected return and standard deviation of returns of the portfolio in Part a if the following conditions exist?
Real estate agents always say "location, location, location" is the most important thing in buying a house. We want to know if the sales prices of homes in two neighborhoods are similar. A random sample is taken from each neighborhood. The prices ..
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