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|a 9781317680574
|q (electronic bk.)
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|a 131768057X
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|a (OCoLC)ocn885123523
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|2 23
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| 100 |
1 |
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|a Murphy, Kevin R.,
|d 1952-
|0 http://id.loc.gov/authorities/names/n86083873
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| 245 |
1 |
0 |
|a Statistical Power Analysis :
|b a Simple and General Model for Traditional and Modern Hypothesis Tests /
|c Kevin R. Murphy, Brett Myors, and Allen Wolach.
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| 250 |
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|a 4th ed.
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| 264 |
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1 |
|a New York, NY :
|b Routledge, Taylor & Francis,
|c 2014.
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| 300 |
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|a 1 online resource (244 pages)
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| 336 |
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|a text
|b txt
|2 rdacontent
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|a online resource
|b cr
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|a Print version record.
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| 504 |
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|a Includes bibliographical references and index.
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| 520 |
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|a Noted for its accessible approach, this text applies the latest approaches of power analysis to both null hypothesis and minimum-effect testing using the same basic unified model. Through the use of a few simple procedures and examples, the authors show readers with little expertise in statistical analysis how to obtain the values needed to carry out the power analysis for their research. Illustrations of how these analyses work and how they can be used to choose the appropriate criterion for defining statistically significant outcomes are sprinkled throughout. The book presents a simple and general model for statistical power analysis based on the F statistic and reviews how to determine: the sample size needed to achieve desired levels of power; the level of power needed in a study; the size of effect that can be reliably detected by a study; and sensible criteria for statistical significance.
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| 500 |
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|a Electronic resource.
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| 650 |
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0 |
|a Statistical hypothesis testing.
|0 http://id.loc.gov/authorities/subjects/sh85127567
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| 650 |
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0 |
|a Statistical power analysis.
|0 http://id.loc.gov/authorities/subjects/sh2002004454
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| 650 |
|
7 |
|a MATHEMATICS
|x Applied.
|2 bisacsh
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| 650 |
|
7 |
|a MATHEMATICS
|x Probability & Statistics
|x General.
|2 bisacsh
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| 650 |
|
7 |
|a Statistical hypothesis testing.
|2 fast
|0 (OCoLC)fst01132063
|
| 650 |
|
7 |
|a Statistical power analysis.
|2 fast
|0 (OCoLC)fst01132082
|
| 655 |
|
7 |
|a Electronic books.
|2 local
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| 700 |
1 |
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|a Myors, Brett.
|0 http://id.loc.gov/authorities/names/n97117397
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| 700 |
1 |
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|a Wolach, Allen.
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| 710 |
2 |
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|a Ebook Library.
|0 http://id.loc.gov/authorities/names/no2011007422
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| 776 |
0 |
8 |
|i Print version:
|a Murphy, Kevin R.
|t Statistical Power Analysis : A Simple and General Model for Traditional and Modern Hypothesis Tests, Fourth Edition.
|d Hoboken : Taylor & Francis, ©2014
|z 9781848725874
|
| 856 |
4 |
0 |
|u http://proxy.library.tamu.edu/login?url=https://ebookcentral.proquest.com/lib/tamucs/detail.action?docID=1754641
|y Connect to the full text of this electronic book
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|a Texas A&M University
|b College Station
|c Electronic Resources
|d Available Online
|t 0
|e QA277 .M87 2014eb
|h Library of Congress classification
|
| 998 |
f |
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|a QA277 .M87 2014eb
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