STAT 420 - Homework 11
Suppose we wish to compare two methods of teaching (traditional [T] and modern [M]) and two types of media (classroom lecture [CL] and programmed instruction [PI]). We assign 12 students randomly to each of the four possible cells in the design and obtain a score for each subject on the same 50 point test at the end of the semester. The number of correct answers for each subject is as follows:
T&CL T&PI M&CL M&PI
2 9 10 21
5 12 13 25
6 14 14 31
7 15 16 33
4 10 10 22
6 13 13 26
7 14 14 32
8 16 17 34
4 10 11 22
6 13 13 30
7 14 15 32
10 17 17 35
(a) By hand, estimate the following effects for the two-way analysis of variance model:
• Effects of teaching method (Factor A)
• Effects of media (Factor B)
• Interaction effects
(b) Construct the appropriate ANOVA table by hand.
(c) Use R to verify your results for parts (a) and (b).
(d) Present the interaction effects graphically (Hint: Try the function interaction.plot()). Interpret the graphs in terms of the main effects and interaction effect.
(e) In R, carry out a test of all pairwise comparisons among the interaction terms from the two-way ANOVA model using Tukey’s procedure. Let the overall Type I error rate be bounded above by .05.
(f) Represent the two-way interaction ANOVA model as a regression model by hand.
(g) Extra Credit: The analysis of the two-way ANOVA performed in (a)–(b) can be rephrased in terms
of orthogonal comparisons if we treat the factorial design as a one-way ANOVA with four cells. By
hand, show this to be true numerically by finding the orthogonal comparisons and testing each of them against zero separately.
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- Submitted On 30 Apr, 2015 12:29:53