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Understanding Statistics and Experimental Design : How to Not Lie with Statis...

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Item specifics

Condition
New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
Book Title
Understanding Statistics and Experimental Design : How to Not Lie
ISBN
9783030034986
Subject Area
Science, Medical
Publication Name
Understanding Statistics and Experimental Design : How to Not Lie with Statistics
Publisher
Springer International Publishing A&G
Item Length
9.4 in
Subject
Biostatistics, Study & Teaching, Research
Publication Year
2019
Series
Learning Materials in Biosciences Ser.
Type
Textbook
Format
Trade Paperback
Language
English
Author
Gregory Francis, Aaron Clarke, Michael Herzog
Item Weight
16 Oz
Item Width
6.6 in
Number of Pages
Xi, 142 Pages

About this product

Product Identifiers

Publisher
Springer International Publishing A&G
ISBN-10
3030034984
ISBN-13
9783030034986
eBay Product ID (ePID)
14038549349

Product Key Features

Number of Pages
Xi, 142 Pages
Language
English
Publication Name
Understanding Statistics and Experimental Design : How to Not Lie with Statistics
Subject
Biostatistics, Study & Teaching, Research
Publication Year
2019
Type
Textbook
Author
Gregory Francis, Aaron Clarke, Michael Herzog
Subject Area
Science, Medical
Series
Learning Materials in Biosciences Ser.
Format
Trade Paperback

Dimensions

Item Weight
16 Oz
Item Length
9.4 in
Item Width
6.6 in

Additional Product Features

Reviews
"Readers with little or no background in statistics will appreciate how these fundamental concepts are so well illustrated in this book to establish the solid foundation of probability and statistics." (David Han, Mathematical Reviews, April, 2020)
Number of Volumes
1 vol.
Illustrated
Yes
Table Of Content
Part I.- Basic Probability Theory.- Experimental Design and the Basics of Statistics: Signal detection Theory (SDT).- The Core Concept of Statistics.- Variations on the t-test.- PART II.- The Multiple Testing Problem.- ANOVA.- Experimental design: Model Fits, Power, and Complex Designs.- Correlation.- PART III.- Meta-analysis.- Understanding replication.- Magnitude of excess success.- Suggested improvements and challenges
Synopsis
This open access textbook provides the background needed to correctly use, interpret and understand statistics and statistical data in diverse settings. Part I makes key concepts in statistics readily clear. Parts I and II give an overview of the most common tests (t-test, ANOVA, correlations) and work out their statistical principles. Part III provides insight into meta-statistics (statistics of statistics) and demonstrates why experiments often do not replicate. Finally, the textbook shows how complex statistics can be avoided by using clever experimental design. Both non-scientists and students in Biology, Biomedicine and Engineering will benefit from the book by learning the statistical basis of scientific claims and by discovering ways to evaluate the quality of scientific reports in academic journals and news outlets.
LC Classification Number
R850.A1-854

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