If the ANOVA test is statistically significant, then we can determine which groups are different by means of the F statistic, which is defined by the ratio of the mean sum square to the average square error (none of the options are correct).
The ANOVA test can be defined as a strategy to assess when differences between two or even more groups and or populations in the same are statistically significant.
Moreover, the F statistic refers to the results of the ANOVA, which is used to show statistically significant differences between groups in the sample.
Therefore, with this data, we can see that the ANOVA test is used to determine when differences between groups in the sample are significant enough to explain a given working hypothesis, and it is associated with the F statistics.
Complete question:
Your ANOVA is statistically significant. How will you determine which groups are different?
Use planned or unplanned comparisons.
Look at what the means in each group are.
Conduct Levene's test.
None of the above
Learn more about the Anova test here:
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