The Assumptions of One Way ANOVA Test
The Assumptions of One Way ANOVA Test
Shishu Pal
Apr 24, 2019
2472
0
The Assumptions of One Way ANOVA Test
While conducting One Way ANOVA test it is imperative to check for three conditions:
The Assumptions of One Way ANOVA Test are mentioned as below:
1. Check if your Y is normally distributed – This may be checked using the Normality Test. Should this test fail, it is advisable to look at options of either using the Non Parametric Tests or look at Data Transformation Methods. 2. Check if your subgroup under study is randomly distributed. – This may be checked using Run Chart (Eg. Should you be looking at quantity of breakage (Continuous data) by Machine (Discrete Data) and the subgroup count be greater than 2) Should the data be non random, it is advisable to observe data behavior more carefully and seek SME participation for causal analysis of special behavior. 3) Check if your subgroup under study has variance which is equally distributed – Check this using Test for Equal Variance Should this test fail, check for symmetry of data and can go ahead with One Way Anova. Try and use transformation methods also.
2 thoughts on “The Assumptions of One Way ANOVA Test”
Comments (0)
Facebook Comments