In this diagram, the observed F F statistic is the distance from black dashed line to the vertical axis. The p p value is the dark blue area under the curve from F F to infinity. Notice that every …

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I think it was definitely a good idea to redirect to an ANOVA calculation to find out the overall effect of stats but I'm not sure finessing the p-values is good.

The F-statistic is computed from the data and represents how much the variability among the means exceeds that expected due to chance. An F-statistic greater than the critical value is …

I'm doing some basic one-way ANOVA in R. It would be useful to be able to output only the p-value associated with a specific term without producing the whole ANOVA table (unrelated …

Apr 1, 2019 · Not sure this is the most elegant way of doing this, but you can compare nested models (e.g. m2 would be the same model without one of the factors you're trying to estimate). …

Aug 16, 2020 · The adjustment here is to multiply each Mann-Whitney p-value by the total number of Mann-Whitney tests being carried out (Bonferroni correction). But as I know, bonferroni …

The t t -test statistic (and its p p -value) is a test of whether β = 0 β = 0. The F F -test on the anova() printout is whether the added variable significantly reduces the residual sum of squares.

When you use anova(lm.1,lm.2,test="Chisq"), it performs the Chi-square test to compare lm.1 and lm.2 (i.e. it tests whether reduction in the residual sum of squares are statistically significant or …

The overall ANOVA asks a question about the whole independent variable and its relation (or lack thereof) with the dependent variable. The pairwise comparisons ask about differences among …