One Way Anova Test Example. μ 1 μ 2 μ 3 μ k all the population means are equal h 1 null hypothesis. Select response data are in one column for all factor levels.
The below mentioned formula represents one way anova test statistics. μ 1 μ 2 μ 3 μ k all the population means are equal h 1 null hypothesis. H 0 null hypothesis.
A tukey post hoc test revealed significant pairwise differences between fertilizer types 3 and 2 with an average difference of 0 42 bushels acre p 0 05 and between fertilizer types 3 and 1 with an average difference of 0 59 bushels acre p 0 01.
A one way anova uses the following null and alternative hypotheses. This is the ratio of the average between variation to the average within variation in addition this ratio is known to follow an f distribution. A one way anova uses the following null and alternative hypotheses. Hence 25 17 mstr 43024 78 f mse 1709.
