Synopsis
This accessible and complete introduction to the use of statistics in the biological sciences is designed for sophomore and junior level students. It contains examples taken from many areas in the life sciences, including genetics, physiology, ecology, agriculture and medicine. The emphasis is on the relationships among probability, probability distributions, and hypothesis testing. The authors have highlighted the expected value of various test statistics under the null and research hypotheses as a way to understand the methodology of hypothesis testing. In addition, they have incorporated non-parametric alternatives to many situations along with the standard parametric analysis.
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From the Publisher
Appendices provide tables and references to most popular statistical analysis software (eg. Minitab, Statview, SAS and SPSS).
A supporting web page provides additional problems, answers to text problems and additional instructional resources.
Each chapter includes a broad set of problems with varying degrees of difficulty. Selected answers are at the end of the book with the rationale and skill hints provided.
This text emphasizes the relationship between probability, probability distributions, and hypothesis testing.
Interesting and easily understood examples are included with each concept.
End-of-chapter problems are randomized within each chapter to require students to choose the appropriate analysis. Many undergraduate texts present a concept or test and immediately give all the problems that can be solved by that technique. This approach prevents students from having to make the real life decision about the appropriate analysis. The authors believe this decision making is a critical skill in the introduction of statistical analysis and have provided a large number of opportunities to practive and develop this skill.
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