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 century ago, two oddly domestic puzzles helped set the rules for what modern science treats as "real": a Guinness brewer ...

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 ...

Despite its widespread use in evaluation data analysis, statistical testing has come under persistent criticism resulting in calls for its rethinking, and even possible elimination (Carver, 1978, 1993 ...

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.

In the middle of the 20 th century, the field of psychology had a problem. In the wake of the Manhattan Project and in the early days of the space race, the so-called “hard sciences” were producing ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Under the Biden Administration the prudential bank regulators and the Department of Justice initiated a program of aggressive enforcement against redlining by lenders of all types. Announced by ...