商品簡介
Features
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.
作者簡介
Jay L. Devore
現職:California Polytechnic State University, San Luis Obispo
目次
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
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