5. Conduct a Factorial ANOVA with the given data and create an ANOVA source table. Women Men X X² X X² Left-handed 76 67 74 61 69 58 Right- 82 76 handed 78 74 81 72 68 282 Total a. How much do the group means differ from the grand mean (Find SS treatment ') ? b. How much do the individual scores differ from their own means (Find SS error »)? c. How much do the individual scores differ from the grand mean (Find SS total)? d. Create a source table and calculate the omnibus F (fill in the top of the source table with the proper labels). e. Find your critical F value based on your df.

College Algebra (MindTap Course List)
12th Edition
ISBN:9781305652231
Author:R. David Gustafson, Jeff Hughes
Publisher:R. David Gustafson, Jeff Hughes
Chapter8: Sequences, Series, And Probability
Section8.7: Probability
Problem 58E: What is meant by the sample space of an experiment?
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5. Conduct a Factorial ANOVA with the given data and create
an ANOVA source table.
Women Men
X X² X X²
Left-handed 76
67
74
61
69
58
Right-
82
76
handed
78
74
81
72
68
282
Total
a. How much do the group means differ from the grand
mean (Find
SS
treatment
') ?
b. How much do the individual scores differ from their own
means (Find
SS
error
»)?
c. How much do the individual scores differ from the grand
mean (Find SS total)?
d. Create a source table and calculate the omnibus F (fill in
the top of the source table with the proper labels).
e. Find your critical F value based on your df.
Transcribed Image Text:5. Conduct a Factorial ANOVA with the given data and create an ANOVA source table. Women Men X X² X X² Left-handed 76 67 74 61 69 58 Right- 82 76 handed 78 74 81 72 68 282 Total a. How much do the group means differ from the grand mean (Find SS treatment ') ? b. How much do the individual scores differ from their own means (Find SS error »)? c. How much do the individual scores differ from the grand mean (Find SS total)? d. Create a source table and calculate the omnibus F (fill in the top of the source table with the proper labels). e. Find your critical F value based on your df.
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