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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.
State in each of given cases whether you would expect relationship between given variables to be positive or negative or neither.
Subjects at both sites were classified as dropouts if they left the study before the conclusion, or completers if they finished the study
The world record time (in minutes) in the marathon is plotted versus the year in which the record was set for men and women separately. The plotting symbol o is used for men and x for women. The data include only records set between 1908 and 1988.
Evaluate the standard deviation - use the conservative value for the degrees of freedom, Assume the two groups are independent and the data are approximately Normal. Let µ 1 and µ 2 represent the mean heart rates we would observe for the entire po..
Solve linear program graphically
For the data shown below, prepare a x-bar chart. Note that the sample size is three. Record the values for the UCL, center line, and LCL. In addition, note any points that are out of control.
It is better to use the median rather than the mean for a distribution when:
LINEAR PROGRAMMING MODELS
The chance both flights are full is 0.6. Are the two flights being full independent events and What was the mean ranking for the females in this class
A bank official reported the results of a regression analysis designed to predict the bank's charges (y), measured in dollars per month, for services rendered to local companies.
There were 25 subjects included in each of the combinations of gender and smoking status. One of the variables measured was the heart rate after six minutes of exercise. A two-way ANOVA is performed with the resulting ANOVA table given below
Using the dataset, produce a graph of per capita GDP for Argentina, China, and Canada from 1965 to 1995. Is inequality between these countries increasing?
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