Understanding statistics and experimental design : how to not lie with statistics / Michael H. Herzog, Gregory Francis, Aaron Clarke. [print]
Material type: TextSeries: Learning materials in biosciencesPublication details: Cham, Switzerland : Springer, (c)2019.Description: xi, 142 pages : illustrations (some color) ; 24 cmContent type:- text
- unmediated
- volume
- 3030034984
- 9783030034986
- QA276.F818.U534 2019
- COPYRIGHT NOT covered - Click this link to request copyright permission: https://lib.ciu.edu/copyright-request-form
Item type | Current library | Call number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|
Circulating Book (checkout times vary with patron status) | G. Allen Fleece Library CIRCULATING COLLECTION | QA276.H582.U534 2019 (Browse shelf(Opens below)) | Available | 31923002064166 |
Browsing G. Allen Fleece Library shelves, Shelving location: CIRCULATING COLLECTION Close shelf browser (Hides shelf browser)
QA273.R8665 1994 Probability without tears / | QA276.B6846 2018 Understandable statistics : concepts and methods / | QA276.C53 2005 The triumph of numbers : how counting shaped modern life / | QA276.H582.U534 2019 Understanding statistics and experimental design : how to not lie with statistics / | QA276.M335.F577 2009 A first course in statistics /James T. McClave, Terry Sincich. | QA276.P367.S738 2019 Statistics : learning from data / | QA276.12.B59 2012 Elementary statistics : a step by step approach / |
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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