Statistics: Unlocking the Power of Data, 3rd Edition

Description

Cover Title Page Copyright Contents Preface Unit A: Data Chapter 1: Collecting Data 1.1. The Structure of Data 1.2. Sampling from a Population 1.3. Experiments and Observational Studies Chapter 2: Describing Data 2.1. Categorical Variables 2.2. One Quantitative Variable: Shape and Center 2.3. One Quantitative Variable: Measures of Spread 2.4. Boxplots and Quantitative/Categorical Relationships 2.5. Two Quantitative Variables: Scatterplot and Correlation 2.6. Two Quantitative Variables: Linear Regression 2.7. Data Visualization and Multiple Variables Unit A: Essential Synthesis Review Exercises Projects Online Unit B: Understanding Inference Chapter 3: Confidence Intervals 3.1. Sampling Distributions 3.2. Understanding and Interpreting Confidence Intervals 3.3. Constructing Bootstrap Confidence Intervals 3.4. Bootstrap Confidence Intervals Using Percentiles Chapter 4: Hypothesis Tests 4.1. Introducing Hypothesis Tests 4.2. Measuring Evidence with P-values 4.3. Determining Statistical Significance 4.4. A Closer Look at Testing 4.5. Making Connections Unit B: Essential Synthesis Review Exercises Projects Online Unit C: Inference with Normal and t-Distributions Chapter 5: Approximating with a Distribution 5.1. Hypothesis Tests Using Normal Distributions 5.2. Confidence Intervals Using Normal Distributions Chapter 6: Inference for Means and Proportions 6.1. Inference for a Proportion 6.1-D Distribution of a Proportion 6.1-CI Confidence Interval for a Proportion 6.1-HT Hypothesis Test for a Proportion 6.2. Inference for a Mean 6.2-D Distribution of a Mean 6.2-CI Confidence Interval for a Mean 6.2-HT Hypothesis Test for a Mean 6.3. Inference for a Difference in Proportions 6.3-D Distribution of a Difference in Proportions 6.3-CI Confidence Interval for a Difference in Proportions 6.3-HT Hypothesis Test for a Difference in Proportions 6.4. Inference for a Difference in Means 6.4-D Distribution of a Difference in Means 6.4-CI Confidence Interval for a Difference in Means 6.4-HT Hypothesis Test for a Difference in Means 6.5. Paired Difference in Means Unit C: Essential Synthesis Review Exercises Projects Online Unit D: Inference for Multiple Parameters Chapter 7: Chi-Square Tests for Categorical Variables 7.1. Testing Goodness-of-Fit for a Single Categorical Variable 7.2. Testing for an Association between Two Categorical Variables Chapter 8: ANOVA to Compare Means 8.1. Analysis of Variance 8.2. Pairwise Comparisons and Inference after ANOVA Chapter 9: Inference for Regression 9.1. Inference for Slope and Correlation 9.2. ANOVA for Regression 9.3. Confidence and Prediction Intervals Chapter 10: Multiple Regression 10.1. Multiple Predictors 10.2. Checking Conditions for a Regression Model 10.3. Using Multiple Regression Unit D: Essential Synthesis Review Exercises Projects Online The Big Picture: Essential Synthesis Exercises for the Big Picture: Essential Synthesis Chapter P: Probability Basics P.1. Probability Rules P.2. Tree Diagrams and Bayes’ Rule P.3. Random Variables and Probability Functions P.4. Binomial Probabilities P.5. Density Curves and the Normal Distribution Appendix A. Chapter Summaries Appendix B. Selected Dataset Descriptions Partial Answers Index General Index Data Index EULA