False-Positives, p-Hacking, Statistical Power, and Evidential Value Leif D. Nelson University of California, Berkeley Haas School of Business Summer Institute

First Page		Document Content
Date: 2016-01-25 14:32:58 Hypothesis testing Statistics Hacking Statistical inference Computing Hacker culture P-value Type I and type II errors False positive rate Hacker		False-Positives, p-Hacking, Statistical Power, and Evidential Value Leif D. Nelson University of California, Berkeley Haas School of Business Summer Institute Add to Reading List Source URL: www.bitss.org Download Document from Source Website File Size: 2,18 MB Share Document on Facebook

	GRADUATE SEMINAR Olusesan Ogunsanya Hypothesis testing for three main Reliability models MSc Student supervised by Andrei Volodin Wednesday, April 4th DocID: 1xVb7 - View Document
	Evolutionary Psychology and Human Reasoning: Testing the Domain-Specificity Hypothesis through Wason Selection Task Fabrizio Ferrara ()* Amedeo Esposito ()* Barbara Piz DocID: 1viUq - View Document
	Hypothesis testing and infection prevalence Ross A. Alford, School of Marine and Tropical Biology, James Cook University, Townsville, Queensland 4811, Australia. Email Presented at the 2004 meeting DocID: 1vaca - View Document
	Two-sample hypothesis testing for random dot product graphs Minh Tang Department of Applied Mathematics and Statistics Johns Hopkins University DocID: 1uUvz - View Document
	The failure of null hypothesis significance testing when studying incremental changes, and what to do about it∗ Andrew Gelman† 3 JulAbstract DocID: 1uUlT - View Document