It may be common knowledge that p < .05 indicates statistical significance. Psychology students (and others) are often taught that p < .05 means the probability (p) of rejecting the null hypothesis ...

Every research lab is constantly innovating; either by creating something new or by understanding the equations and statistics underlying each vital subject, the stakes are high. With trillions of ...

Researchers from Northwestern University, University of Pennsylvania, and University of Colorado published a new Journal of Marketing study that proposes abandoning null hypothesis significance ...

A century ago, two oddly domestic puzzles helped set the rules for what modern science treats as "real": a Guinness brewer charged with quality control and a British lady insisting she can taste ...

A test of statistical significance addresses the question, How likely is a result, assuming the null hypotheses to be true. Randomness, a central assumption underlying commonly used tests of ...

Some scientists are hesitant to submit nonsignificant results to journals, citing reputation as a major factor.

The current way many researchers apply p-values to draw conclusions on statistical significance is incorrect and unhelpful, three scientists argue in a Nature commentary published yesterday (March 20) ...

A recent study that questioned the healthfulness of eggs raised a perpetual question: Why do studies, as has been the case with health research involving eggs, so often flip-flop from one answer to ...

Significance testing, with appropriate multiple testing correction, is currently the most convenient method for summarizing the evidence for association between a disease and a genetic variant.

Comprehensive guidelines on the presentation of statistical material in medical/dental journals have been published by Altman et al. elsewhere. 1 The following is a slightly adapted summary of those ...