Fallacies of Statistical Significance
Statistical significance (or hypothesis) tests, and the related concept of p-values, are popular tools in statistical data analysis. Unfortunately, the practical implications of statistical significance often turn out to be limited and are frequently misinterpreted and overstated, or even stated incorrectly.
This article is published as Doganaksoy, N., Hahn, G.J., and Meeker, W.Q., (2017), Fallacies of Statistical Significance, Quality Progress, 50, December, 56–62. Posted with permission.