Round the answers in the table to four decimal places. Source of Degrees of Freedom Sum of Squares Mean Square Value of the Test Statistic Variation Between 2 17.3582 Within 83.5663 Total 11 (b) Using a = 0.01, what is your conclusion for the test with the null hypothesis that the means of the three populations are equal against the alternate hypothesis that the means of the three populations are not equal? We will the null hypothesis that the means of the three populations are equal.
Round the answers in the table to four decimal places. Source of Degrees of Freedom Sum of Squares Mean Square Value of the Test Statistic Variation Between 2 17.3582 Within 83.5663 Total 11 (b) Using a = 0.01, what is your conclusion for the test with the null hypothesis that the means of the three populations are equal against the alternate hypothesis that the means of the three populations are not equal? We will the null hypothesis that the means of the three populations are equal.
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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let us first understand the generalized ANOVA table.
source of variation | degrees of freedom | sum of squares | mean square | F |
between | k-1 | SSB | SSB/K-1 | MSSB/MSSW |
within | n-k | SSW | SSW/N-K | |
total | n-1 | SST |
where n is total sample size ,k is number of treatment .
hence for the above table
degrees of freedom for error (within )=total degrees of freedom- treatment (between)degrees of freedom
SSB=degrees of freedom (between)* mean SSB
total SS=SSB + SSW
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