The present comment reviews practices revolving around tests of statistical significance. First, the logic of statistical significance testing is presented in an accessible manner; many people who use ...

European Journal of Epidemiology, Vol. 25, No. 4 (2010), pp. 225-230 (6 pages) Since its introduction into the biomedical literature, statistical significance testing (abbreviated as SST) caused much ...

Read on to learn more about what a t-test is, the different formulas used, and when to apply each type to compare means and ...

McShane, Blakeley B.; Bradlow, Eric T.; Lynch Jr., John G.; Meyer, Robert J. "Statistical Significance" and Statistical Reporting: Moving Beyond Binary. Journal of ...

I contend that there is a better way to correct the misuse of tests for statistical significance than by dispensing with them altogether (see V. Amrhein et al. Nature 567, 305–307; 2019). The ...

Hypothesis testing provides organizations with a structured approach to evaluate assumptions using data, reducing reliance on intuition and enhancing decision accuracy. By validating decisions with ...

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

Michael Lew has received funding from the NHMRC. Yesterday’s article by Geoff Cumming, based on a very recent Proceedings of the National Academy of Science paper, argued that “null hypothesis ...

(Bloomberg Opinion) -- Did you know that gorging on dark chocolate accelerates weight loss? A study published in 2015 found that a group of subjects who followed a low-carbohydrate diet and ate a bar ...