ASA President’s Task Force Statement on Statistical Significance and Replicability
Yoav Benjamini, Richard D. De Veaux, Bradley Efron, Scott Evans, Mark E. Glickman, Barry I. Graubard, Xuming He, Xiao‐Li Meng, Nancy Reid, Stephen M. Stigler, Stephen B. Vardeman, Christopher K. Wikle, Tommy Wright, Linda J. Young, Karen Kafadar
Abstract
The value of hypothesis testing, and the frequent misinterpretation of p-values as a cornerstone of statistical methodology, continues to be debated. In 2019, the President of the American Statistical Association (ASA) convened a Task Force to write a succinct statement about the use of statistical methods in scientific studies, specifically hypothesis tests and p-values, and their connection to replicability.
Topics & Concepts
Statement (logic)Task forceCornerstoneStatistical hypothesis testingStatistical analysisAssociation (psychology)Task (project management)Connection (principal bundle)Computer sciencePsychologyStatisticsMathematicsPolitical scienceManagementLawGeographyEconomicsPublic administrationGeometryPsychotherapistArchaeologyData Analysis with R