Introduction to Biostatistics

Thomas Glover, Kevin Mitchell

416 pages, parution le 01/09/2001

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Résumé

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 students, 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.

Key features

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.

Contents

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

Caractéristiques techniques

	PAPIER
Éditeur(s)	Mc Graw Hill
Auteur(s)	Thomas Glover, Kevin Mitchell
Parution	01/09/2001
Nb. de pages	416
Format	18,8 x 23,5
Couverture	Broché
Poids	656g
Intérieur	Noir et Blanc
EAN13	9780071121996