Jump to ContentJump to Main Navigation
TaintedHow Philosophy of Science Can Expose Bad Science$
Users without a subscription are not able to see the full content.

Kristin Shrader-Frechette

Print publication date: 2014

Print ISBN-13: 9780199396412

Published to Oxford Scholarship Online: October 2014

DOI: 10.1093/acprof:oso/9780199396412.001.0001

Show Summary Details
Page of

PRINTED FROM OXFORD SCHOLARSHIP ONLINE (www.oxfordscholarship.com). (c) Copyright Oxford University Press, 2019. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in OSO for personal use. date: 15 December 2019

Why Statistics Is Slippery

Why Statistics Is Slippery

Easy Algorithms Fail in Biology

Chapter:
(p.99) Chapter 8 Why Statistics Is Slippery
Source:
Tainted
Author(s):

Kristin Shrader-Frechette

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780199396412.003.0008

The chapter evaluates the well-known statistical-significance rule for discovering hypotheses and shows that, because scientists routinely misuse this rule, especially with observational and not experimental data, they can miss discovering important causal hypotheses in statistics. In particular, scientists forget how subjective the rule is, and that the rule tells nothing about scientific significance, only mathematical significance

Keywords:   experiential data, observational data, statistical significance, statistics

Oxford Scholarship Online requires a subscription or purchase to access the full text of books within the service. Public users can however freely search the site and view the abstracts and keywords for each book and chapter.

Please, subscribe or login to access full text content.

If you think you should have access to this title, please contact your librarian.

To troubleshoot, please check our FAQs , and if you can't find the answer there, please contact us .