1. In a completely randomized experimental design, 11 experimental units were used for each of the 3 treatments. Part of the ANOVA table is shown below. Source of Variation Between Treatments Within Treatments (Error) Sum of Squares 1500 Degrees of Freedom ? Mean Squares F ? Total 6000 Using a = .05, test to determine whether or not the means of the three populations are equal. You need to a. State the null and alternative hypotheses for this test. b. Fill in the Sum of Squares, degrees of freedom, mean square, F-value in the ANOVA table c. Draw the conclusion regarding whether you reject or fail to reject the null hypothesis.
1. In a completely randomized experimental design, 11 experimental units were used for each of the 3 treatments. Part of the ANOVA table is shown below. Source of Variation Between Treatments Within Treatments (Error) Sum of Squares 1500 Degrees of Freedom ? Mean Squares F ? Total 6000 Using a = .05, test to determine whether or not the means of the three populations are equal. You need to a. State the null and alternative hypotheses for this test. b. Fill in the Sum of Squares, degrees of freedom, mean square, F-value in the ANOVA table c. Draw the conclusion regarding whether you reject or fail to reject the null hypothesis.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:1. In a completely randomized experimental design, 11 experimental units were used for each of the 3
treatments. Part of the ANOVA table is shown below.
Source of
Variation
Between Treatments
Within Treatments
(Error)
Sum
of Squares
1500
Degrees
of Freedom
Mean
Squares
Total
6000
Using a = .05, test to determine whether or not the means of the three populations are equal.
You need to
a. State the null and alternative hypotheses for this test.
b. Fill in the Sum of Squares, degrees of freedom, mean square, F-value in the ANOVA table
c. Draw the conclusion regarding whether you reject or fail to reject the null hypothesis.
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