fects and variance within the samples can be attributed to experimental errors. As part of this process, the
total sum of squares can be divided into two additive and independent parts as shown in Figure 12.1:
SST (total sum of squares) = SSC (sum of squares between columns) + SSE (sum of squares within
samples)
12.4.1Steps in Calculating SST (Total Sum of Squares) and Mean Squares in One-
Way Analysis of Variance
As discussed above, the total sum of squares can be partitioned in two parts: sum of squares between
columns and sum of squares within samples. So, there are two steps in calculating SST (total sum of
squares) ...
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