Efnisyfirlit

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