Description
Book SynopsisNeil A. Weiss received his Ph.D. from UCLA and subsequently accepted an assistant professor position at Arizona State University (ASU), where he was ultimately promoted to the rank of full professor. Dr. Weiss has taught statistics, probability, and mathematicsfrom the freshman level to the advanced graduate levelfor more than 30 years.
In recognition of his excellence in teaching, Dr. Weiss received the Dean's Quality Teaching Award from the ASU College of Liberal Arts and Sciences. He has also been runner-up twice for the Charles Wexler Teaching Award in the ASU School of Mathematical and Statistical Sciences. Dr. Weiss's comprehensive knowledge and experience ensures that his texts are mathematically and statistically accurate, as well as pedagogically sound.
In addition to his numerous research publications, Dr. Weiss is the au
Table of Contents
Preface
Supplements
Technology Resources
Data Sources
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 Five-Number Summary; Boxplots
3.5 Descriptive Measures for Populations; Use of
Samples
Chapter in Review
Review Problems
Focusing on Data Analysis
Case Study Discussion
Biography
4. Descriptive Methods in Regression and Correlation
Case Study: Healthcare: Spending and Outcomes
4.1 Linear Equations with One Independent Variable
4.2 The Regression Equation
4.3 The Coefficient of Determination
4.4 Linear Correlation
Chapter in Review
Review Problems
Focusing on Data Analysis
Case Study Discussion
Biography
PART III: Probability, Random Variables, and Sampling Distributions
5. Probability and Random Variables
Case Study: Texas Hold’em
5.1 Probability Basics
5.2 Events
5.3 Some Rules of Probability
5.4 Discrete Random Variables and Probability Distributions∗
5.5 The Mean and Standard Deviation of a Discrete Random Variable∗
5.6 The Binomial 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
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
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 Inferences for Two Population Means, Using Paired Samples
Chapter in Review
Review Problems
Focusing on Data Analysis
Case Study Discussion
Biography
11. Inferences for Population Proportions
Case Study: Arrested Youths
11.1 Confidence Intervals for One Population Proportion
11.2 Hypothesis Tests for One Population Proportion
11.3 Inferences for Two Population Proportions
Chapter in Review
Review Problems
Focusing on Data Analysis
Case Study Discussion
Biography
12. Chi-Square Procedures
Case Study: Eye and Hair Color
12.1 The Chi-Square Distribution
12.2 Chi-Square Goodness-of-Fit Test
12.3 Contingency Tables; Association
12.4 Chi-Square Independence Test
12.5 Chi-Square Homogeneity Test
Chapter in Review
Review Problems
Focusing on Data Analysis
Case Study Discussion
Biography
13. Analysis of Variance (ANOVA)
Case Study: Self-Perception and Physical Activity
13.1 The F-Distribution
13.2 One-Way ANOVA: The Logic
13.3 One-Way ANOVA: The Procedure
Chapter in Review
Review Problems
Focusing on Data Analysis
Case Study Discussion
Biography
14. Inferential Methods in Regression and Correlation
Case Study: Shoe Size and Height
14.1 The Regression Model; Analysis of Residuals
14.2 Inferences for the Slope of the Population Regression Line
14.3 Estimation and Prediction
14.4 Inferences in Correlation
Chapter in Review
Review Problems
Focusing on Data Analysis
Case Study Discussion
Biography
Appendix A: Statistical Tables
Appendix B: Answers to Selected Exercises
Index
Photo Credits
∗Indicates optional material.
