Weiss’s Introductory Statistics, Eighth Edition, features a thorough presentation of the reasoning behind statistics, balanced with analysis and exploration of real data.  This text emphasizes the development of statistical thinking rather than rote drill and practice. This new edition continues Weiss’s tradition of cutting-edge statistical pedagogy and seamless integration of technology, and includes hundreds of new exercises with carefully cited data from journals, magazines, newspapers, and Web sites. Introductory Statistics, Eighth Edition, contains a parallel presentation of the P-value and critical value approaches to hypothesis testing and promotes active learning and critical thinking, particularly in the exercises and end-of-chapter projects.  The scope and flexibility of this Weiss text make it suitable for a one- or two-semester course. Datasets and other resources (where applicable) for this book are available here.

Table of Contents:
Preface    Supplements List    Data Sources       Part I: Introduction   Chapter 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   Chapter 2 Organizing Data 2.1 Variables and Data 2.2 Grouping Data  2.3 Graphs and Charts 2.4 Distribution Shapes 2.5 Misleading Graphs   Chapter 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   Part III: Probability, Random Variables, and Sampling Distributions   Chapter 4 Probability Concepts 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 5 Discrete Random Variables* 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 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 6.5 Normal Approximation to the Binomial Distribution*   Chapter 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    Chapter 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   Chapter 9 Hypothesis Tests for One Population Mean 9.1 The Nature of Hypothesis Testing 9.2 Terms, Errors, and Hypotheses 9.3 Hypothesis Tests for One Population Mean When σ is Known 9.4 Type II Error Probabilities; Power* 9.5 P-Values 9.6 Hypothesis Tests for One Population Mean When σ is Unknown 9.7 The Wilcoxon Signed-Rank Test* 9.8 Which Procedure Should Be Used?*   Chapter 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 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 11 Inferences for Population Standard Deviations* 11.1 Inferences for One Population Standard Deviation* 11.2 Inferences for Two Population Standard Deviations, Using Independent Samples*   Chapter 12 Inferences for Population Proportions 12.1 Confidence Intervals for One Population Proportion 12.2 Hypothesis Tests for One Population Proportion 12.3 Inferences for Two Population Proportions    Chapter 13 Chi-Square Procedures 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   Part V: Regression, Correlation, and ANOVA    Chapter 14 Descriptive Methods in Regression and Correlation 14.1 Linear Equations With One Independent Variable 14.2 The Regression Equation 14.3 The Coefficient of Determination 14.4 Linear Correlation   Chapter 15 Inferential Methods in Regression and Correlation 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 16 Analysis of Variance (ANOVA) 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*   Part VI: Multiple Regression and Model Building; Experimental Design and ANOVA (On The WeissStats CD-ROM)   Module A Multiple Regression Analysis 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 B Model Building in Regression  B.1 Transformations to Remedy Model Violations B.2 Polynomial Regression Model B.3 Qualitative Predictor Variables B.4 Multicollinearity B.5 Model Selection: Stepwise Regression B.6 Model Selection: All Subsets Regression B.7 Pitfalls and Warnings   Module C Design of Experiments and Analysis of Variance 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*   APPENDIXES Appendix A: Statistical Tables I. Random numbers II. Areas under the standard normal curve III. Normal scores IV. Values of tα V. Values of Wα VI. Values of Mα VII. Values of χα2   VIII. Values of Fα  IX. Critical values for a correlation test for normality X. Values of q0.01 XI. Values of q0.05 XII. Binomial probabilities    Appendix B Answers to Selected Exercises Index Photo Credits Indexes for Biographical Sketches & Case Studies   *indicates an optional section