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 ...

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

In October 2021, the then Attorney General, Merrick Garland, announced the Combating Redlining Initiative (“CRI”) Shortly ...

When it comes to deciding how significant a statistic is, Université de Montréal education professor Sébastien Béland is clear: "Our goal is to change practices in order to improve quality in the ...

Vol. 74, No. 1, Spcial Issue title: Scientific Misconduct and Research Ethics in Economics (MARCH 2016), pp. 83-97 (15 pages) Published By: Taylor & Francis, Ltd. A science, business, or law that is ...

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 ...

The statistical physics of graphs and partition functions represents a vibrant intersection of graph theory, statistical mechanics and computational complexity. By summing over an ensemble of ...

It’s too often misused and misunderstood. by Amy Gallo When you run an experiment or analyze data, you want to know if your findings are “significant.” But business relevance (i.e., practical ...

“One Guinness, please!” a customer says to a barkeep, who flips a branded pint glass and catches it under the tap. The barkeep begins a multistep pour process lasting precisely 119.5 seconds, which, ...