When the null hypothesis is rejected in ANOVA, the ANOVA test reveals which means are signficantly different from which other means. false True true False. Rejecting the null hypothesis only indicatates that at least one population mean is different from at least one other. A marginal mean is false A mean that is almost significant. true The mean of the means of one variable averaging over the levels of another variable. The mean of the means of one variable averaging over the levels of another variable. A main effect is a comparison of true Marginal means false Standardized means. false Simple effects Marginal means To compare a control group with the average of the other three groups you would use false Tukey's test false An interaction test true A specific comparison A specific comparison To compare each mean with each other mean you would use true Tukey's test false An interaction test false A specific comparison false ANOVA Tukey's test An interaction makes it difficul to interpret false simple effects false pairwise comparisons false specific comparisons true main effects Main efects. The interaction means the simple effects differ and therefore the main effect does not tell the whole story. If one simple effect is significant and another is not that means there is an interaction. false True true False False because it is not valid to acccept the null hypothesis that a simple effect is 0 when it is not significant.