Introductory Statistics, MyLab Revision, Global Edition

-4. Probability Concepts

-Case Study: Texas Hold'em
-4.1 Probability Basics
-4.2 Events
-4.3 Some Rules of Probability
-4.4 Contingency Tables; Joint and Marginal Probabilities*
-4.5 Conditional Probability*
-4.6 The Multiplication Rule; Independence*
-4.7 Bayes's Rule*
-4.8 Counting Rules*
-Chapter in Review
-Review Problems
-Focusing on Data Analysis
-Case Study Discussion
-Biography



-5. Discrete Random Variables*

-Case Study: Aces Wild on the Sixth at Oak Hill
-5.1 Discrete Random Variables and Probability Distributions*
-5.2 The Mean and Standard Deviation of a Discrete Random Variable*
-5.3 The Binomial Distribution*
-5.4 The Poisson Distribution*
-Chapter in Review
-Review Problems
-Focusing on Data Analysis
-Case Study Discussion
-Biography



-6. The Normal Distribution

-Case Study: Chest Sizes of Scottish Militiamen
-6.1 Introducing Normally Distributed Variables
-6.2 Areas under the Standard Normal Curve
-6.3 Working with Normally Distributed Variables
-6.4 Assessing Normality; Normal Probability Plots
-6.5 Normal Approximation to the Binomial Distribution*
-Chapter in Review
-Review Problems
-Focusing on Data Analysis
-Case Study Discussion
-Biography



-7. The Sampling Distribution of the Sample Mean

-Case Study: The Chesapeake and Ohio Freight Study
-7.1 Sampling Error; the Need for Sampling Distributions
-7.2 The Mean and Standard Deviation of the Sample Mean
-7.3 The Sampling Distribution of the Sample Mean
-Chapter in Review
-Review Problems
-Focusing on Data Analysis
-Case Study Discussion
-Biography





PART IV: INFERENTIAL STATISTICS

-8. Confidence Intervals for One Population Mean

-Case Study: Bank Robberies: A Statistical Analysis
-8.1 Estimating a Population Mean
-8.2 Confidence Intervals for One Population Mean When σ Is Known
-8.3 Confidence Intervals for One Population Mean When σ Is Unknown
-Chapter in Review
-Review Problems
-Focusing on Data Analysis
-Case Study Discussion
-Biography



-9. Hypothesis Tests for One Population Mean

-Case Study: Gender and Sense of Direction
-9.1 The Nature of Hypothesis Testing
-9.2 Critical-Value Approach to Hypothesis Testing
-9.3 P-Value Approach to Hypothesis Testing
-9.4 Hypothesis Tests for One Population Mean When σ Is Known
-9.5 Hypothesis Tests for One Population Mean When σ Is Unknown
-9.6 The Wilcoxon Signed-Rank Test*
-9.7 Type II Error Probabilities; Power*
-9.8 Which Procedure Should Be Used?**
-Chapter in Review
-Review Problems
-Focusing on Data Analysis
-Case Study Discussion
-Biography



-10. Inferences for Two Population Means

-Case Study: Dexamethasone Therapy and IQ
-10.1 The Sampling Distribution of the Difference between Two Sample Means for Independent Samples
-10.2 Inferences for Two Population Means, Using Independent Samples: Standard Deviations Assumed Equal
-10.3 Inferences for Two Population Means, Using Independent Samples: Standard Deviations Not Assumed Equal
-10.4 The Mann - Whitney Test*
-10.5 Inferences for Two Population Means, Using Paired Samples
-10.6 The Paired Wilcoxon Signed-Rank Test*
-10.7 Which Procedure Should Be Used?**
-Chapter in Review
-Review Problems
-Focusing on Data Analysis
-Case Study Discussion
-Biography



-11. Inferences for Population Standard Deviations*

-Case Study: Speaker Woofer Driver Manufacturing
-11.1 Inferences for One Population Standard Deviation*
-11.2 Inferences for Two Population Standard Deviations, Using Independent Samples*
-Chapter in Review
-Review Problems
-Focusing on Data Analysis
-Case Study Discussion
-Biography



-12. Inferences for Population Proportions

-Case Study: Arrested Youths
-12.1 Confidence Intervals for One Population Proportion
-12.2 Hypothesis Tests for One Population Proportion
-12.3 Inferences for Two Population Proportions
-Chapter in Review
-Review Problems
-Focusing on Data Analysis
-Case Study Discussion
-Biography



-13. Chi-Square Procedures

-Case Study: Eye and Hair Color
-13.1 The Chi-Square Distribution
-13.2 Chi-Square Goodness-of-Fit Test
-13.3 Contingency Tables; Association
-13.4 Chi-Square Independence Test
-13.5 Chi-Square Homogeneity Test
-Chapter in Review
-Review Problems
-Focusing on Data Analysis
-Case Study Discussion
-Biography





PART V: REGRESSION, CORRELATION, AND ANOVA

-14. Descriptive Methods in Regression and Correlation

-Case Study: Healthcare: Spending and Outcomes
-14.1 Linear Equations with One Independent Variable
-14.2 The Regression Equation
-14.3 The Coefficient of Determination
-14.4 Linear Correlation
-Chapter in Review
-Review Problems
-Focusing on Data Analysis
-Case Study Discussion
-Biography



-15. Inferential Methods in Regression and Correlation

-Case Study: Shoe Size and Height
-15.1 The Regression Model; Analysis of Residuals
-15.2 Inferences for the Slope of the Population Regression Line
-15.3 Estimation and Prediction
-15.4 Inferences in Correlation
-15.5 Testing for Normality**
-Chapter in Review
-Review Problems
-Focusing on Data Analysis
-Case Study Discussion
-Biography



-16. Analysis of Variance (ANOVA)

-Case Study: Self-Perception and Physical Activity
-16.1 The F-Distribution
-16.2 One-Way ANOVA: The Logic
-16.3 One-Way ANOVA: The Procedure
-16.4 Multiple Comparisons*
-16.5 The Kruskal - Wallis Test*
-Chapter in Review
-Review Problems
-Focusing on Data Analysis
-Case Study Discussion
-Biography





PART VI: MULTIPLE REGRESSION AND MODEL BUILDING; EXPERIMENTAL DESIGN AND ANOVA**

-MODULE A: Multiple Regression Analysis

-Case Study: Automobile Insurance Rates
-A.1 The Multiple Linear Regression Model
-A.2 Estimation of the Regression Parameters
-A.3 Inferences Concerning the Utility of the Regression Model
-A.4 Inferences Concerning the Utility of Particular Predictor Variables
-A.5 Confidence Intervals for Mean Response; Prediction Intervals for Response
-A.6 Checking Model Assumptions and Residual Analysis
-Module in Review
-Review Problems
-Focusing on Data Analysis
-Case Study Discussion
-Answers to Selected Exercises
-Index



-MODULE B: Model Building in Regression

-Case Study: Automobile Insurance Rates Revisited
-B.1 Transformations to Remedy Model Violations
-B.2 Polynomial Regression Model
-B.3 Qualitative Predictor
-B.4 Multicollinearity
-B.5 Model Selection: Stepwise Regression
-B.6 Model Selection: All-Subsets Regression
-B.7 Pitfalls and Warnings
-Module in Review
-Review Problems
-Focusing on Data Analysis
-Case Study Discussion
-Answers to Selected Exercises
-Index



-MODULE C: Design of Experiments and Analysis of Variance

-Case Study: Dental Hygiene: Which Toothbrush?
-C.1 Factorial Designs
-C.2 Two-Way ANOVA: The Logic
-C.3 Two-Way ANOVA: The Procedure
-C.4 Two-Way ANOVA: Multiple Comparisons
-C.5 Randomized Block Designs
-C.6 Randomized Block ANOVA: The Logic
-C.7 Randomized Block ANOVA: The Procedure
-C.8 Randomized Block ANOVA: Multiple Comparisons
-C.9 Friedman's Nonparametric Test for the Randomized Block Design
-Module in Review
-Review Problems
-Focusing on Data Analysis
-Case Study Discussion





Answers to Selected Exercises Index Appendices

-A: Statistical Tables
-B: Answers to Selected Exercises


Index Photo Credits * Indicates optional material.
** Indicates optional material on the WeissStats site.