Statistical significance is a critical concept in data analysis and research. In essence, it’s a measure that allows researchers to assess whether the results of an experiment or study are due to ...

A new paper published in European Science Editing highlights the growing psychological strain on researchers driven by pressure to obtain statistically significant results in academic publishing.

The scientific world is abuzz following recommendations by two of the most prestigious scholarly journals – The American Statistician and Nature – that the term "statistical significance" be retired.

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

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 ...

The perennial question facing all banks is, “What volume of lending in Majority-Minority census tracts and mortgages extended to minority home borrowers must we do to avoid redlining allegations by ...

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 of dark chocolate daily ...

There is no disputing the importance of statistical analysis in biological research, but too often it is considered only after an experiment is completed, when it may be too late. This collection ...

The scientific world is abuzz following recommendations by two of the most prestigious scholarly journals – The American Statistician and Nature – that the term “statistical significance” be retired.