Description: Preface Course Management Notes (Instructor''s Edition only) Supplements Technology Resources Data Sources 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 5.2 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* 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 Is Known 8.3 Margin of Error 8.4 Confidence Intervals for One Population Mean When 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 Is Known 9.5 Hypothesis Tests for One Population Mean When 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 APPENDICES Appendix A: Statistical Tables I. Random numbers II. Areas under the standard normal curve III. Normal scores IV. Values of t V. Values of 2 VI. Values of F VII. Binomial probabilities Appendix B Answers to Selected Exercises Index Photo Credits Indexes for Biographical Sketches & Case Studies WeissStats CD-ROM (included with every new textbook) Brief Contents Note: See the WeissStats CD-ROM ReadMe file for detailed contents. Applets Data Sets DDXL (Excel Add-In) Detailed t and Chi-square Tables Focus Database Formulas and Appendix A Tables Further Topics in Probability JMP Concept Discovery Modules Minitab Macros Technology Basics TI Programs *indicates an optional section

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