Incluye bibliografía: páginas 494-497 e índice: páginas 498-504

Chapter 1 Presenting and Summarizing Data.. Chapter 2 Probability.. Chapter 3 Random Variable and their Distributions.. Chapter 4 Population and Sample.. Chapter 5 Estimation of Parameters.. Chapter 6 Hypotheses Testing.. Chapter 7 Simple Linear Regression.. Chapter 8 Correlation.. Chapter 9 Multiple Linear Regression.. Chapter 10 Curvilinear Regression.. Chapter 11 Fixed Effects One way Analysis of Variance.. Chapter 12 Random Effects One way Analysis of Variance.. Chapter 13 Mixed Models.. Chapter 14 Concepts of Experimental Design.. Chapter 15 Blocking.. Chapter 16 Change-over Designs.. Chapter 17 Factorial Experiments.. Chapter 18 Hierarchical or Nested Design.. Chapter 19 More About Blocking.. Chapter 20 Split-Plot Design.. Chapter 21 Analysis of Covariance.. 22 Repeated Measures.. 23 Analysis of Numerical Treatment Levels.. 24 Discrete Dependent Variables Solutions of Exercises.. Solutions of Exercises.. Appendix A: Vectors and Matrices.. Appendix B: Statistical Tables.. Bibliography.. Subject Index

Designed to cover techniques for analysis of data in the animal sciences, this textbook provides an overview of the basic principles of statistics enabling the subsequent applications to be carried out with familiarity and understanding, followed by more complex applications and detailed procedures commonly used in animal sciences. Each chapter begins by introducing a problem with practical questions, followed by a brief theoretical background, and is supplemented with an abundance of examples in SAS from animal sciences and related fields. Inglés