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Assumptions of Analysis of Variance

Assumptions for hypothesis testing based on the single factor ANOVA model are actually related to the residual value or error (ε ij ). Many references state that single factor ANOVA is quite reliable for this assumption, for example the F test remains reliable and reliable even though the assumptions are not met. However, the level of reliability is very difficult to measure and also depends on the sample size that must be balanced. The F test can be very unreliable if the sample size is not balanced, especially if it is added to the distribution of data that is not normal and the variance is not homogeneous. Therefore, I highly recommend checking the ANOVA assumptions first before proceeding to the analysis phase.