Yoav Benjamini, Richard D. De Veaux, Bradley Efron, Scott Evans, Mark Glickman, Barry I. Graubard, Xuming He, Xiao-Li Meng, Nancy M. Reid, Stephen M. Stigler, Stephen B. Vardeman, Christopher K. Wikle, Tommy Wright, Linda J. Young, and Karen Kafadar

Introduction

The value of hypothesis testing, and the frequent misinterpretation of p-values as a cornerstone of statistical methodology, continues to be debated. In response, the president of the American Statistical Association (ASA) convened a task force in 2019 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. The task force statement is reprinted here.

Editor’s note: The task force statement was published in The Annals of Applied Statistics in September 2021. It is reprinted here with permission from the Institute of Mathematical Statistics.

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