Weiss’s Elementary Statistics, Eighth Edition is the ideal textbook for introductory statistics classes that emphasize statistical reasoning and critical thinking. Comprehensive in its coverage, Weiss’s meticulous style offers careful, detailed explanations to ease the learning process. With more than 2,000 exercises, most using real data, there is a wealth of opportunity for students to apply their knowledge and develop statistical literacy. The text is suitable for a one-semester course.
Elementary Statistics, Eighth Edition, contains parallel presentation of critical-value and p-value approaches to hypothesis testing. This unique design allows both the flexibility to concentrate on one approach or the opportunity for greater depth in comparing the two.
This edition of Elementary Statistics continues the book's tradition of being on the cutting edge of statistical pedagogy, technology, and data analysis. It includes hundreds of new and updated exercises with real data from journals, magazines, newspapers, and Web sites.
Elementary Statistics, Eighth Edition, takes a data-driven approach with more than 700 data sets documented by several hundred data sources.
Datasets and other resources (where applicable) for this book are available here.
Table of Contents
Course Management Notes (Instructor’s Edition only)
Part I: Introduction
1. The Nature of Statistics
1.1 Statistics Basics
1.2 Simple Random Sampling
1.3 Other Sampling Designs*
1.4 Experimental Designs*
Part II: Descriptive Statistics
2. Organizing Data
2.1 Variables and Data
2.2 Organizing Qualitative Data
2.3 Organizing Quantitative Data
2.4 Distribution Shapes
2.5 Misleading Graphs*
3. Descriptive Measures
3.1 Measures of Center
3.2 Measures of Variation
3.3 The Five-Number Summary; Boxplots
3.4 Descriptive Measures for Populations; Use of Samples
4. Descriptive Methods in Regression and Correlation
4.1 Linear Equations with One Independent Variable
4.2 The Regression Equation
4.3 The Coefficient of Determination
4.4 Linear Correlation
Part III: Probability, Random Variables, and Sampling Distributions
5. Probability and Random Variables
5.1 Probability Basics
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*
6. The Normal Distribution
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
7. The Sampling Distribution of the Sample Mean
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
Part IV: Inferential Statistics
8. Confidence Intervals for One Population Mean
8.1 Estimating a Population Mean
8.2 Confidence Intervals for One Population Mean When σ Is Known
8.3 Margin of Error
8.4 Confidence Intervals for One Population Mean When σ Is Unknown
9. Hypothesis Tests for One Population Mean
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
10. Inferences for Two Population Means
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
11. Inferences for Population Proportions
11.1 Confidence Intervals for One Population Proportion
11.2 Hypothesis Tests for One Population Proportion
11.3 Inferences for Two Population Proportions
12. Chi-Square Procedures
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
13. Analysis of Variance (ANOVA)
13.1 The F-Distribution
13.2 One-Way ANOVA: The Logic
13.3 One-Way ANOVA: The Procedure
14. Inferential Methods in Regression and Correlation
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
Appendix A: Statistical Tables
I. Random numbers
II. Areas under the standard normal curve
III. Normal scores
IV. Values of tα
V. Values of χα2
VI. Values of Fα
VII. Binomial probabilities
Appendix B Answers to Selected Exercises
Indexes for Biographical Sketches & Case Studies
WeissStats CD-ROM (included with every new textbook)
Note: See the WeissStats CD-ROM ReadMe file for detailed contents.
DDXL (Excel Add-In)
Detailed t and Chi-square Tables
Formulas and Appendix A Tables
Further Topics in Probability
JMP Concept Discovery Modules
*indicates an optional section
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