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Preface

1 Instroduction to Statics and Data Analysis
2 Probility
3 Random Variable and Probalbility Distributions
4 Mathmatical Expectation
5 Some Discrete Probability Distributions
6 Some Continuous Probability Distributions
7 Function of Random Variables(Optional)
8 Fundamental Sampling Distributions and Data Descriptions
9 One- and Two-Sample Estimantion Problems
10 One- and Two-Sample Tests of Hypotheses
11 Simple Linear Regression and Correlation
12 Multiple Linear Regression and Certain Nonlinear Regression Models
13 One- Factor Experiments: General
14 Factorial Experiments (Two or More Factors)
15 2ｋ Factorial Experiments and Fractions
16 Nonparametric Statistics
17 Statistical Quality Control
18 Bayesian Statistics

Bibliography
Appendix A: Statistical Tables and Proofs
Appendix B: Answers to Odd-Numbered Non-Review
Index

For junior/senior undergraduates taking probability and statistics as applied to engineering, science, or computer science.

This classic text provides a rigorous introduction to basic probability theory and statistical inference, with a unique balance between theory and methodology. Interesting, relevant applications use real data from actual studies, showing how the concepts and methods can be used to solve problems in the field. This revision focuses on improved clarity and deeper understanding.

MyStatLab™ is not included. Students, if MyStatLab is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN and course ID. MyStatLab should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information.

MyStatLab is an online homework, tutorial, and assessment program designed to work with this text to engage students and improve results. Within its structured environment, students practice what they learn, test their understanding, and pursue a personalized study plan that helps them absorb course material and understand difficult concepts.