In a one-way ANOVA, total SS is equal to 12,345, and SST is equal to 10,685, then SSE = 1,660.

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This is true because in a one-way ANOVA, SST (total sum of squares) is equal to the sum of SSE (error sum of squares) and SSR (regression sum of squares): SST = SSE + SSR. Therefore, SSE = SST - SSR. In this scenario, total SS = SST = 10,685 and SST - SSE = SSR, so SSR = 10,685 - 12,345 = -1,660. However, since SSR cannot be negative, we know that there must have been an error in the calculation somewhere and that SSE = SST - SSR = 1,660.

In a One-Way ANOVA, Total SS Is Equal to 12,345