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oapen-20.500.12657-230292024-03-22T19:23:36Z Understanding Statistics and Experimental Design Herzog, Michael H. Francis, Gregory Clarke, Aaron Medicine Molecular biology Biostatistics Science education Statistics Experiential research Behavioral sciences thema EDItEUR::J Society and Social Sciences::JM Psychology::JMB Psychological methodology thema EDItEUR::J Society and Social Sciences::JN Education::JNU Teaching of a specific subject thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBG Medical equipment and techniques::MBGR Medical research thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSV Zoology and animal sciences::PSVP Ethology and animal behaviour 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. 2020-03-18 13:36:15 2020-04-01T09:00:49Z 2020-04-01T09:00:49Z 2019 book 1007132 http://library.oapen.org/handle/20.500.12657/23029 eng Learning Materials in Biosciences application/pdf 1007132.pdf https://www.springer.com/9783030034993 Springer Nature 10.1007/978-3-030-03499-3 10.1007/978-3-030-03499-3 6c6992af-b843-4f46-859c-f6e9998e40d5 142 Cham open access
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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.
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