Analysis of Variance (ANOVA) is a well-known method to test the equality of mean for two or more
groups. ANOVA is a robust test under the normality assumption. Arithmetic mean is used in the
computation of the ANOVA test. Mean is known to be sensitive towards outlier and this problem will
affect the robustness and power of ANOVA. In this study, modification of ANOVA was created using
one type of mean to replace arithmetic mean namely trimmed mean. New approaches were be obtained
for the computation of ANOVA. This study was conducted based on a simulation study and application
on real data. The performance of the modified ANOVA is then compared with the classical ANOVA
test in terms of Type I error rate. This innovation enhances the ability of modified ANOVA to provide
good control of Type I error rates. The findings were in favor of the modified ANOVA or better known
as ANOVATM.