An introduction to biostatistics
著者
書誌事項
An introduction to biostatistics
McGraw-Hill, c2002
- pbk.
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注記
Includes bibliographical references (p. 411).
内容説明・目次
- 巻冊次
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pbk. ISBN 9780071121996
内容説明
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.
目次
1. Introduction to Data Analysis. 2. Introduction to Probability. 3. Probability Distributions. 4. Sampling Distributions. 5. Introduction to Hypothesis Testing. 6. One-Sample Tests of Hypothesis. 7. Tests of Hypothesis Involving Two Samples. 8. k-Sample Tests of Hypothesis: The Analysis of Variance. 9. Two-Factor Analysis. 10. Linear Regression and Correlation. 11. Goodness of Fit Tests for Categorical Data. Appendixes. A. Proofs of Selected Results. B. Answers to Even-numbered Problems. C. Tables of Distributions and Critical Values.
- 巻冊次
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ISBN 9780072418415
内容説明
Introduction to Biostatistics is an accessible and complete introduction for students to the use of statistics in the biological sciences. Designed for sophomore- and junior-level biology, environmental science, biochemistry, and health science students who are taking an introductory statistics course, there are examples throughout the text taken from many areas in the life sciences, including genetics, physiology, ecology, agriculture, and medicine.This new text emphasizes 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 nonparametric alternatives to many situations along with the standard parametric analysis.
目次
1 Introduction to Data Analysis2 Introduction to Probability3 Probability Distributions4 Sampling Distributions5 Introduction to Hypothesis Testing6 One-Sample Tests of Hypothesis7 Tests of Hypothesis Involving Two Samples8 k-Sample Tests of Hypothesis: The Analysis of Variance9 Two-Factor Analysis10 Linear Regression and Correlation11 Goodness of Fit Tests for Categorical DataAppendixesA Proofs of Selected ResultsB Answers to Even-Numbered ProblemsC Tables of Distributions and Critical Values
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