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Article CommentaryCommentary

Common Misconceptions about Data Analysis and Statistics

Harvey J. Motulsky
Journal of Pharmacology and Experimental Therapeutics October 2014, 351 (1) 200-205; DOI: https://doi.org/10.1124/jpet.114.219170
Harvey J. Motulsky
GraphPad Software Inc., La Jolla, California
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Article Information

vol. 351 no. 1 200-205
DOI 
https://doi.org/10.1124/jpet.114.219170
PubMed 
25204545

Published By 
American Society for Pharmacology and Experimental Therapeutics
Print ISSN 
0022-3565
Online ISSN 
1521-0103
History 
  • Received August 8, 2014
  • Accepted August 8, 2014
  • Published online September 9, 2014.

Copyright & Usage 
Copyright © 2014 Creative Commons Attribution-NoDerivatives 4.0 International (CC-BY-ND 4.0)

Author Information

  1. Harvey J. Motulsky
  1. GraphPad Software Inc., La Jolla, California
  1. Address correspondence to:
    Harvey J. Motulsky, 1018 Yale Street, Santa Monica, CA 90403. E-mail: hmotulsky{at}graphpad.com
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In this issue

Journal of Pharmacology and Experimental Therapeutics: 351 (1)
Journal of Pharmacology and Experimental Therapeutics
Vol. 351, Issue 1
1 Oct 2014
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Article CommentaryCommentary

Misconceptions about Data Analysis and Statistics

Harvey J. Motulsky
Journal of Pharmacology and Experimental Therapeutics October 1, 2014, 351 (1) 200-205; DOI: https://doi.org/10.1124/jpet.114.219170

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Article CommentaryCommentary

Misconceptions about Data Analysis and Statistics

Harvey J. Motulsky
Journal of Pharmacology and Experimental Therapeutics October 1, 2014, 351 (1) 200-205; DOI: https://doi.org/10.1124/jpet.114.219170
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  • Article
    • Abstract
    • Introduction
    • Misconception 1: P-Hacking Is OK
    • Misconception 2: P Values Convey Information about Effect Size
    • Misconception 3: Statistical Hypothesis Testing and Reports of Statistical Significance Are Necessary in Experimental Research
    • Misconception 4: The Standard Error of the Mean Quantifies Variability
    • Misconception 5: You Do Not Need to Report the Details
    • Summary
    • Footnotes
    • References
  • Figures & Data
  • Info & Metrics
  • eLetters
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More in this TOC Section

  • Reporting Data Analysis and Statistical Methods
  • Editor’s Note
  • Editor’s Note
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