A mathematical ritual known as null hypothesis significance testing has led researchers astray since the 1950s.

This article discusses statistical significance, p-values, and uncertainty reporting in economic research, emphasizing their role in interpreting empirical findings.

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 ...

Key points The history of statistical significance can be traced to statistician Ronald Fisher in the early 1920s. The concept of statistical significance arose through mere happenstance.

António Afonso, João Tovar Jalles, Fiscal Reaction Functions Across the World: In Quest of Statistical (In)significance, FinanzArchiv / Public Finance Analysis, Vol. 75, No. 3, Special Issue ...

Most researchers don't understand statistical significance. So, marketers -- and planners and buyers -- can be forgiven for ...

This is an important distinction; unfortunately, statistical significance is often misunderstood and misused in organizations today.

A new paper published in European Science Editing highlights the growing psychological strain on researchers driven by pressure to obtain statistically significant results in academic publishing.

But business relevance (i.e., practical significance) isn’t always the same thing as confidence that a result isn’t due purely to chance (i.e., statistical significance).