What is typically used to determine if the differences between group means are statistically significant in One-Way ANOVA?
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In One-Way ANOVA, the p-value associated with the F-statistic is typically used to determine if the differences between group means are statistically significant.
In One-Way ANOVA, the F-test is used to determine if the differences between group means are statistically significant. It compares the variance among the group means to the variance within the groups to see if the means are different enough to be considered significant.
In One-Way ANOVA, the F-statistic is typically used to determine if the differences between group means are statistically significant. The F-statistic compares the variance between the group means to the variance within the groups. A higher F-statistic indicates a greater likelihood that at least one group mean differs significantly from the others, and this is assessed against a critical value from the F-distribution to determine significance, often using a p-value threshold (commonly 0.05).
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