One Way Anova Test Results. Determine whether the differences between group means are statistically significant. Fortunately a one way anova allows us to answer this question.
However running a post hoc test is usually not warranted and should not be carried out. 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. Determine whether the differences between group means are statistically significant.
Compare the group means.
However running a post hoc test is usually not warranted and should not be carried out. Equal variances the variances of the populations that the samples come from are equal. For the results of a one way anova to be valid the following assumptions should be met. Report the result of the one way anova e g there were no statistically significant differences between group means as determined by one way anova f 2 27 1 397 p 15.
