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 ...

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 ...

A century ago, two oddly domestic puzzles helped set the rules for what modern science treats as "real": a Guinness brewer charged with quality control and a British lady insisting she can taste ...

For more than 40 years, null-hypothesis significance testing and P values have been questioned by statistical commentators, their utility criticized on philosophical and practical grounds 1. Luckily, ...

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 ...