At times we wish to examine statistical evidence, and determine whether it supports or contradicts a claim that has been made (or that we might wish to make) concerning the entire population. This is ...

Hypothesis testing is a formal procedure for investigating our ideas about the world using statistics. It is most often used by researchers to test predictions, called hypotheses. The first step in ...

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.

The first thing any scientist does before performing an experiment is to form a hypothesis about the experiment's outcome. This often takes the form of a null hypothesis, which is a statistical ...

Motivation: Frequently, comparing samples from two populations is of interest. For example, is the average height in the US different from that in China? If they are different, how different? Goal: In ...

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

In the early 20 th century, Guinness breweries in Dublin had a policy of hiring the best graduates from Oxford and Cambridge to improve their industrial processes. At the time, it was considered a ...