In an unequal n ANOVA, how many F scores are typically generated?

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Prepare for UCF's PSY3204C Statistical Methods in Psychology Quiz 3. Use interactive tools and engaging quizzes to solidify your understanding of statistics in psychology, and enhance your chances of success.

In an unequal n ANOVA, typically only one F score is generated for the overall test of significance. The F score measures the ratio of the variance among the group means to the variance within the groups. This single F score provides a comprehensive understanding of whether there are any statistically significant differences between the means of the groups being compared.

The reason there is only one F score in this context is that the ANOVA is focused on one dependent variable and the comparisons among the means of the groups defined by the independent variable(s). While post-hoc tests can follow an ANOVA to investigate specific group differences further, the initial ANOVA itself results in a single F score indicating the overall effect of the independent variable on the dependent variable.

In contrast, generating multiple F scores would imply separate comparisons, which is not standard in an unequal n ANOVA focusing on a single overall effect.