Expect the Unexpected (ePub)

-->This textbook introduces the basic concepts from probability theory and statistics which are needed for statistical analysis of data encountered in the biological and health sciences. No previous study is required. Advanced mathematical tools, such as integration and differentiation, are kept to a minimum. The emphasis is put on the examples. Probabilistic methods are discussed at length, but the focus of this edition is on statistics.The examples are kept simple, so that the reader can learn quickly and see the usefulness of various statistical and probabilistic methods. Some of the examples used in this book draw attention to various problems related to environmental issues, climate change, loss of bio-diversity, and their impact on wildlife and humans.In comparison with the first edition of the book, this second edition contains additional topics such as power, sample size computation and non-parametric methods, and includes a large collection of new problems, as well as the answers to odd-numbered problems. Several sections of this edition are accompanied by instructions using the programming language R for statistical computing and graphics. --> Request Inspection Copy -->Contents:Probability:Introduction to ProbabilityAxioms of ProbabilityConditional ProbabilityDiscrete Random VariablesContinuous Random VariablesSupplementary Problems (Probability)Statistics:Introduction to StatisticsConfidence IntervalsHypothesis TestingComparison of Two Independent SamplesPaired SamplesCategorical DataRegression and CorrelationSupplementary Problems (Statistics)Additional Topics:Sample Size and PowerNon-Parametric MethodsAnswers to Odd-Numbered ProblemsTables --> -->Readership: Undergraduates studying probability and statistics, especially in the life and natural sciences. -->Probability Theory;Statistical Inference;Biostatistics;Statistics;Calculus-Based Statistics;Genetics;Biology;Ecology;Health;Life Sciences;Natural SciencesKey Features:This edition contains a large collection of new problems and includes the answers to odd-numbered problemsSeveral sections of the book are accompanied by a technology component containing instructions using the programming language R for statistical computing and graphicsAlthough probabilistic methods are discussed at length in the book, the focus of this edition is on statistics, with a new chapter dedicated to non-parametric methods in statistics