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Understanding statistics and experimental design : how to not lie with statistics / Michael H. Herzog, Gregory Francis, Aaron Clarke. [print]

By: Contributor(s): Material type: TextTextSeries: Learning materials in biosciencesPublication details: Cham, Switzerland : Springer, (c)2019.Description: xi, 142 pages : illustrations (some color) ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 3030034984
  • 9783030034986
Subject(s): LOC classification:
  • QA276.F818.U534 2019
Available additional physical forms:
Contents:
Experimental Design and the Basics of Statistics: Signal detection Theory (SDT) -- The Core Concept of Statistics -- Variations on the t-test
ANOVA -- Experimental design: Model Fits, Power, and Complex Designs -- Correlation
Understanding replication -- Magnitude of excess success -- Suggested improvements and challenges.
Subject: This open access textbook provides the background needed to correctly use, interpret and understand statistics and statistical data in diverse settings. Part III provides insight into meta-statistics (statistics of statistics) and demonstrates why experiments often do not replicate.
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Holdings
Item type Current library Call number Status Date due Barcode
Circulating Book (checkout times vary with patron status) Circulating Book (checkout times vary with patron status) G. Allen Fleece Library CIRCULATING COLLECTION QA276.H582.U534 2019 (Browse shelf(Opens below)) Available 31923002064166

Includes bibliographical references.

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.

This open access textbook provides the background needed to correctly use, interpret and understand statistics and statistical data in diverse settings. Part III provides insight into meta-statistics (statistics of statistics) and demonstrates why experiments often do not replicate.

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