Probability and Statistics for Engineering and the Sciences, 8/e (IE-Paperback)

<內容簡介>

1. Several exercises refer to material covered in earlier sections and chapters, allowing students to more easily see the connections between concepts.
2. Virtually every example and exercise has a real world context. Real data in exercises and examples stimulate students' interest and enhance their comprehension of concepts.
3. Notable content includes a strong emphasis on the role that variation plays in statistics, emphasis on the nature of variation in the slope estimate in simple linear regression, and inclusion of a detailed description of pooled t procedures to provide a balance between unpooled and pooled analyses.
4. "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.
5. Strong computer coverage, especially with ANOVA and regression, is supported by an abundance of computer output from SAS® and MINITAB® and coverage of computer methods. Inclusion of Java™ Applets from Gary McClelland's SEEING STATISTICS, specifically designed for this calculus-based text, allows students to experience statistics firsthand.

New To This Edition
1. Chapter 1, "Overview and Descriptive Statistics," contains a new subsection on "The Scope of Modern Statistics" that describes and exemplifies how statistics is used in modern disciplines.
2. A significantly revised and simplified Chapter 8, "Tests of Hypotheses Based on a Single Sample," also has a new subsection entitled "More on Interpreting P-values."
3. More than 40 new examples and 100 new problems were carefully researched and written using the most up-to-date real data.

<章節目錄>

Ch 1 Overview and Descriptive Statistics
Ch 2 Probability
Ch 3 Discrete Random Variables and Probability Distributions
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
Ch10 The Analysis of Variance
Ch11 Multifactor Analysis of Variance
Ch12 Simple Linear Regression and Correlation
Ch13 Nonlinear and Multiple Regression
Ch14 Goodness-of-Fit Tests and Categorical Date Analysis
Ch15 Distribution Free Procedures
Ch16 Quality Control Methods