Table : TABLE 14-13. Calculating the Total Sum of Squares The total sum of squares is calculated by subtracting the overall mean, called the grand mean, from every score to create deviations, then squaring the deviations and summing them: Σ(X − GM)2 = 0.0672
XX − GM(X − GM)2
   Y, 1   0.25   (0.25 − 0.21) = 0.04   0.0016
   0.21   (0.21 − 0.21) = 0.00   0.0000
   0.14   (0.14 − 0.21) = 20.07   0.0049
   Y, 3   0.07   (0.07 − 0.21) = 20.14   0.0196
   0.13   (0.13 − 0.21) = 20.08   0.0064
   0.16   (0.16 − 0.21) = 20.05   0.0025
   0, 1   0.27   (0.27 − 0.21) = 0.06   0.0036
   0.22   (0.22 − 0.21) = 0.01   0.0001
   0.17   (0.17 − 0.21) = 20.04   0.0016
   0, 3   0.33   (0.33 − 0.21) = 0.12   0.0144
   0.31   (0.31 − 0.21) = 0.10   0.0100
   0.26   (0.26 − 0.21) = 0.05   0.0025