Understanding statistics and experimental design : how to not lie with statistics / / Michael H. Herzog, Gregory Francis, Aaron Clarke
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| Autore: |
Herzog Michael A
|
| Titolo: |
Understanding statistics and experimental design : how to not lie with statistics / / Michael H. Herzog, Gregory Francis, Aaron Clarke
|
| Pubblicazione: | Cham, : Springer Nature, 2019 |
| Cham : , : Springer International Publishing, , 2019 | |
| Edizione: | 1st edition 2019. |
| Descrizione fisica: | 1 online resource (XI, 142 p. 35 illus., 29 illus. in color.) |
| Disciplina: | 611.01816 |
| Soggetto topico: | Molecular biology |
| Biostatistics | |
| Science education | |
| Statistics | |
| Experiential research | |
| Behavioral sciences | |
| Soggetto non controllato: | Medicine |
| Molecular biology | |
| Biostatistics | |
| Science education | |
| Statistics | |
| Experiential research | |
| Behavioral sciences | |
| Persona (resp. second.): | FrancisGregory (Gregory S.) |
| ClarkeAaron | |
| Nota di contenuto: | 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. |
| Sommario/riassunto: | 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. |
| Titolo autorizzato: | Understanding statistics and experimental design |
| ISBN: | 3-030-03499-2 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910349447103321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |
Serie:
Learning Materials in Biosciences, . 2509-6125