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 ...

Instead of recognizing the limitations of statistical significance, fields including economics and medicine ossified around it, with dire consequences for science. In the 21st century, an obsession ...

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 ...

In order to prevent misleading conclusions based on spurious observed effects--especially seductively large ones--Robinson and Levin (1997) suggested a two-step approach to the reporting and ...

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...

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 ...