Statistics Explained is a reader-friendly introduction to experimental design and statistics for undergraduate students in the life sciences, particularly those who do not have a strong mathematical background. Hypothesis testing and experimental design are discussed first. Statistical tests are then explained using pictorial examples and a minimum of formulae. This class-tested approach, along with a well-structured set of diagnostic tables, will give students the confidence to choose an appropriate test with which to analyze their own data sets. Presented in a lively and straightforward manner, Statistics Explained will give readers the depth and background necessary to proceed to more advanced texts and applications. It will therefore be essential reading for all bioscience undergraduates, and will serve as a useful refresher course for more advanced students.
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Statistics Explained is a reader-friendly introduction to experimental design and statistics for undergraduate students in the life sciences, particularly those who do not have a strong mathematical background. This accessible guide discusses how to design experiments and how to select an appropriate statistical test with which to analyze results. Even complex topics are explained clearly and succinctly, with minimum use of formulae and terminology. Statistics Explained will be essential reading for all bioscience undergraduates, and will serve as a useful refresher course for more advanced students.
Steve McKillup is an Associate Professor of Biology in the School of Biological and Environmental Sciences at Central Queensland University, Rockhampton.
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