Sum of squares within-groups

The sum of squares within group (wg) is then the difference between the last two figures, or... 

In this equation, the term SSW is refereed to as the the sum of squares within groups or error sum of squares. The quantity SSW when divided by the appropriate degrees of freedom J(I-l) is referred to as the mean square or error mean square and is denoted by MSW- As Eq. (1.114) is not particularly convenient for calculation purposes, it can be presented in the more usable form ... 

We need to become familiar with the topic of analysis of variance, often abbreviated ANOVA, in order to test the null hypothesis (H0) p1 = p2 = " = where k is the number of experimental groups, or samples. In the ANOVA, we assume that a = a2 = = ol, and we estimate the population variance assumed common to all k groups by a variance obtained using the pooled sum of squares (within-groups SS) and the pooled degree of freedom (within-groups DF) ... 

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See also in sourсe #XX -- [ ]

See also in sourсe #XX -- [ ]

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