Probability and Statistics for Engineering and Science

Each chapter includes a wealth of great exercises both at the end of each section and in a section of supplementary exercises at the close of each chapter.

Devore is passionate about the use of real data in exercises and examples to stimulate student interest and enhances comprehension of complicated concepts. Virtually every example and exercise contains a real world context; this is not mathematics for the sake of mathematics!
The text's strong computer coverage, especially as it relates to ANOVA and regression, is supported by an abundance of computer output (from SAS and MINITAB) and coverage of computer methods.

"Simulation Experiments" help students gain an understanding of sampling distributions and the insight they provide, especially when a derivation is too complex to carry out.
From the outset, the book places a strong emphasis on the role that variation plays in statistics.

Ch.1 Overview and Descriptive Statistics Ch.2 Probability Ch.3 Discrete Random Variables and Probability Ch.4 Continuous Random Variables and Probability Distributions Ch.5 Joint Probability Distributions and Random Samples Ch.6 Point Estimation Ch.7 Statistical Intervals Based on A Single Sample Ch.8 Tests of Hypotheses Based on A Single Sample Ch.9 Inferences Based on Two Samples Ch.10 The Analysis of Variance Ch.11 Multifactor Analysis of Variance Ch.12 Simple Linear Regression and Correlation Ch.13 Nonlinear and Multiple regression Ch.14 Goodness-of-Fit Tests and Categorical Data Analysis Ch.15 Distribution-Free ProceduresCh.16 Quality Control Methods