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Understanding Statistics and Experimental Design : How to Not Lie with Statistics / by Michael H. Herzog, Gregory Francis, Aaron Clarke.
- Format:
- Book
- Author/Creator:
- Herzog, Michael H., author.
- Francis, Gregory, author.
- Clarke, Aaron, author.
- Series:
- Biomedical and Life Sciences (Springer-11642)
- Learning materials in biosciences 2509-6125
- Learning Materials in Biosciences, 2509-6125
- Language:
- English
- Subjects (All):
- Molecular biology.
- Biometry.
- Science--Study and teaching.
- Science.
- Statistics.
- Experiential research.
- Behavioral sciences.
- Molecular Medicine.
- Biostatistics.
- Science Education.
- Statistics for Life Sciences, Medicine, Health Sciences.
- Psychology Research.
- Behavioral Sciences.
- Local Subjects:
- Molecular Medicine.
- Biostatistics.
- Science Education.
- Statistics for Life Sciences, Medicine, Health Sciences.
- Psychology Research.
- Behavioral Sciences.
- Physical Description:
- 1 online resource (XI, 142 pages) : 35 illustrations, 29 illustrations in color.
- Edition:
- First edition 2019.
- Contained In:
- Springer eBooks
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2019.
- System Details:
- text file PDF
- Summary:
- 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.
- Contents:
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-03499-3
- 9783030034993
- Access Restriction:
- Restricted for use by site license.
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