Which of these scoring methods would be documented in an ANOVA table?

The scoring method that is documented in an ANOVA (Analysis of Variance) table is F scores. ANOVA is a statistical technique used to compare means among three or more groups to determine if at least one group mean is significantly different from the others. The F score is a ratio that reflects the variance between group means relative to the variance within the groups. It is calculated as the mean square between the groups divided by the mean square within the groups. This F value is the key statistic that ANOVA generates, and it is used to assess whether the observed differences in means are statistically significant.

The other scoring methods, such as median scores, standardized scores, and percentiles, do not directly represent the output calculated during ANOVA. Median scores are not used because ANOVA specifically evaluates mean differences, not medians. Standardized scores, although important in many statistical analyses, are not particular to ANOVA and do not convey group differences as the F score does. Percentiles provide a ranking perspective that does not relate to the variance analysis central to ANOVA’s purpose. Thus, the F score is the correct choice in the context of an ANOVA table.