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 ...

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 ...

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 ...

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

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 ...

(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 ...