Please convince me why I should bother correcting p values with multiple comparisons, because I don't see the point
127273
Explain the xkcd jelly bean comic: What makes it funny?
125784
Intraclass correlation coefficient vs. F-test (one-way ANOVA)?
122766
Is this really how p-values work? Can a million research papers per year be based on pure randomness?
46759
Regarding p-values, why 1% and 5%? Why not 6% or 10%?
68257
Computing p-value using bootstrap with R
12364
Is rejecting the hypothesis using p-value equivalent to hypothesis not belonging to the confidence interval?
96379
Choosing the appropriate statistical test
19626
Is normality testing 'essentially useless'?
105929
Binomial confidence interval estimation - why is it not symmetric?
19247
How should one interpret the comparison of means from different sample sizes?
36821
Interpreting odds ratios
132522
Does a big difference in sample sizes together with a difference in variances matter for a t-test (or permutation test)?
24298
Justification for low/high or tertiary splits in ANOVA
11124
Normality of residuals vs sample data; what about t-tests?
43393
Interpretation of p-value in hypothesis testing
58209
p values and significance in RLM (MASS package) R
86734
Why do I not get a p-value and F value from ANOVA in R?