Now you wonder - which height groups differ significantly in their job satisfaction. Re-run your ANOVA and select the "Bonferroni" post hoc test. Based on the results of your post hoc test, there is a significant difference between the means of the: Group of answer choices Tall and short students Average and short students Average and tall students Tall and average students
Now you wonder - which height groups differ significantly in their job satisfaction.
Re-run your ANOVA and select the "Bonferroni" post hoc test.
Based on the results of your post hoc test, there is a significant difference between the means of the:
ANOVA stands for analysis of variance. It is used to compare the means of more than two groups. This statistical method is used to analyze the within-sample variation and between-sample variation. The Bonferroni post hoc test is a correction used to limit the possibility of getting a statistically significant result when testing multiple hypotheses. It's needed because the more tests you run, the more likely you are to get a significant result. The correction lowers the area where you can reject the null hypothesis.
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