Introductory Statistics, MyLab Revision, 10th edition
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Overview
Introductory Statistics MyLab Revision, 10th Edition is ideal for courses that emphasize statistical reasoning and critical thinking. Weiss's meticulous and comprehensive coverage includes careful, detailed explanations with more than 1000 data sets and over 3000 exercises. The text takes a datadriven approach that encourages you to apply your knowledge and develop statistical understanding.
Weiss offers a parallel presentation of criticalvalue and Pvalue approaches to hypothesis testing. This unique design creates flexibility to concentrate on one approach or the opportunity for greater depth in comparing the two.
Published by Pearson (July 15th 2020)  Copyright © 2020
ISBN13: 9780136872832
Subject: Introductory Statistics
Category: Introductory Statistics, MyLab Revision
Overview
* Indicates optional material.
** Indicates optional material on the WeissStats site.
PART I: INTRODUCTION
 1. The Nature of Statistics
 Case Study: Top Films of All Time
 1.1 Statistics Basics
 1.2 Simple Random Sampling
 1.3 Other Sampling Designs*
 1.4 Experimental Designs*
 Chapter in Review
 Review Problems
 Focusing on Data Analysis
 Case Study Discussion
 Biography
PART II: DESCRIPTIVE STATISTICS
 2. Organizing Data
 Case Study: World's Richest People
 2.1 Variables and Data
 2.2 Organizing Qualitative Data
 2.3 Organizing Quantitative Data
 2.4 Distribution Shapes
 2.5 Misleading Graphs*
 Chapter in Review
 Review Problems
 Focusing on Data Analysis
 Case Study Discussion
 Biography
 3. Descriptive Measures
 Case Study: The Beatles' Song Length
 3.1 Measures of Center
 3.2 Measures of Variation
 3.3 Chebyshev's Rule and the Empirical Rule*
 3.4 The FiveNumber Summary; Boxplots
 3.5 Descriptive Measures for Populations; Use of Samples
 Chapter in Review
 Review Problems
 Focusing on Data
 Analysis
 Case Study Discussion
 Biography
PART III: PROBABILITY, RANDOM VARIABLES, AND SAMPLING DISTRIBUTIONS
 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 CriticalValue Approach to Hypothesis Testing
 9.3 PValue 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 SignedRank 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 SignedRank 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. ChiSquare Procedures
 Case Study: Eye and Hair Color
 13.1 The ChiSquare Distribution
 13.2 ChiSquare GoodnessofFit Test
 13.3 Contingency Tables; Association
 13.4 ChiSquare Independence Test
 13.5 ChiSquare 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: SelfPerception and Physical Activity
 16.1 The FDistribution
 16.2 OneWay ANOVA: The Logic
 16.3 OneWay 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: AllSubsets 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 TwoWay ANOVA: The Logic
 C.3 TwoWay ANOVA: The Procedure
 C.4 TwoWay 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.
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