= How do I compute Mean Square Error (MSE)? = Mean square error or MSE is frequently requested by journals as a companion statistic for ANOVA and, especially, t-tests. MSE is the average intra-group variance. MSE is outputted in ANOVA tables but can be computed using a weighted average of the group variances. Fo G groups with the i-th an SD, $$SD_text{i}$$ and sample size $$N_text{i}$$, MSE = $$\frac{\sum_text{i} (N_text{i}-1) SD_text{i}^text{2}}{(\sum_text{i}N_text{i})-G } $$ which equals $$\frac{\sum_text{i} SD_text{i}^text{2}}{G} $$ in the special case of equal group sizes. In EXCEL, suppose we have two groups (A and B) in cells A1:A100 and B1:B100 respectively, MSE can then be computed using MSE =(SQRT(((COUNT(A1:A100)-1)+(COUNT(B1:B100)-1)))*(AVERAGE(A1:A100)-AVERAGE(B1:B100)))/(SQRT((COUNT(A1:A100)-1)*POWER(STDEV(A1:A100),2)+(COUNT(B1:B100)-1)*POWER(STDEV(B1:B100),2)))