a. Give the number of levels for each factor. b. How many observations were collected for each factor- level combination? c. Complete the ANOVA table. d. Test to determine whether the treatment means differ. Use a = .10. e. Conduct the tests of factor interaction and mean effects, each at the α = .10 level of significance. Which of the tests are warranted as part of the factorial analysis? Explain.

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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Do all parts with formulas and with explaination

10.90 The partially complete ANOVA table given here is for a
two-factor factorial experiment:
Source
A
B
AB
Error
Total
df
1
3
SS MS F
.85
.97
23 7.5
.35
Transcribed Image Text:10.90 The partially complete ANOVA table given here is for a two-factor factorial experiment: Source A B AB Error Total df 1 3 SS MS F .85 .97 23 7.5 .35
a. Give the number of levels for each factor.
b. How many observations were collected for each factor-
level combination?
c. Complete the ANOVA table.
d. Test to determine whether the treatment means differ.
Use a = .10.
e. Conduct the tests of factor interaction and mean effects,
each at the α = .10 level of significance. Which of the
tests are warranted as part of the factorial analysis?
Explain.
Transcribed Image Text:a. Give the number of levels for each factor. b. How many observations were collected for each factor- level combination? c. Complete the ANOVA table. d. Test to determine whether the treatment means differ. Use a = .10. e. Conduct the tests of factor interaction and mean effects, each at the α = .10 level of significance. Which of the tests are warranted as part of the factorial analysis? Explain.
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