Fundamentals of Statistics

Chapter 1: Data Collection

• • 1.1 Introduction to the Practice of Statistics
• • 1.2 Observational Studies versus Designed Experiments
• • 1.3 Simple Random Sampling
• • 1.4 Other Effective Sampling Methods
• • 1.5 Bias in Sampling
• • 1.6 The Design of Experiments
• • Chapter 1 Review
• • Chapter Test
• • Making an Informed Decision: What College Should I Attend?

Chapter 2: Summarizing Data in Tables and Graphs

• • 2.1 Organizing Qualitative Data
• • 2.2 Organizing Quantitative Data
• • 2.3 Graphical Misrepresentations of Data
• • Chapter 2 Review
• • Chapter Test
• • Making an Informed Decision: Tables or Graphs?

Chapter 3: Numerically Summarizing Data

• • 3.1 Measures of Central Tendency
• • 3.2 Measures of Dispersion
• • 3.3 Measures of Central Tendency and Dispersion from Grouped Data
• • 3.4 Measures of Position and Outliers
• • 3.5 The Five-Number Summary and Boxplots
• • Chapter 3 Review
• • Chapter Test
• • Making an Informed Decision: What Car Should I Buy?

Chapter 4: Describing the Relation between Two Variables

• • 4.1 Scatter Diagrams and Correlation
• • 4.2 Least-Squares Regression
• • 4.3 The Coefficient of Determination
• • 4.4 Contingency Tables and Association
• • Chapter 4 Review
• • Chapter Test
• • Making an Informed Decision: Relationships among Variables on a World Scale

Chapter 5: Probability

• • 5.1 Probability Rules
• • 5.2 The Addition Rule and Complements
• • 5.3 Independence and the Multiplication Rule
• • 5.4 Conditional Probability and the General Multiplication Rule
• • 5.5 Counting Techniques
• • 5.6 Simulating Probability Experiments
• • 5.7 Putting It Together: Which Method Do I Use?
• • Chapter 5 Review
• • Chapter Test
• • Making an Informed Decision: The Effects of Drinking and Driving

Chapter 6: Discrete Probability Distributions

• • 6.1 Discrete Random Variables
• • 6.2 The Binomial Probability Distribution
• • Chapter 6 Review
• • Chapter Test
• • Making an Informed Decision: Should We Convict?

Chapter 7: The Normal Probability Distribution

• • 7.1 Properties of the Normal Distribution
• • 7.2 Applications of the Normal Distribution
• • 7.3 Assessing Normality
• • 7.4 The Normal Approximation to the Binomial Probability Distribution
• • Chapter 7 Review
• • Chapter Test
• • Making an Informed Decision: Stock Picking

Chapter 8: Sampling Distributions

• • 8.1 Distribution of the Sample Mean
• • 8.2 Distribution of the Sample Proportion
• • Chapter 8 Review
• • Chapter Test
• • Making an Informed Decision: How Much Time Do You Spend in a Day . . . ?

Chapter 9: Estimating the Value of a Parameter

• • 9.1 Estimating a Population Proportion
• • 9.2 Estimating a Population Mean
• • 9.3 Putting It Together: Which Method Do I Use?
• • 9.4 Estimating a Population Standard Deviation (eText)
• • 9.5 Estimating with Bootstrapping (eText)
• • Chapter 9 Review
• • Chapter Test
• • Making an Informed Decision: How Much Should I Spend for this House?

Chapter 10: Hypothesis Tests Regarding a Parameter

• • 10.1 The Language of Hypothesis Testing
• • 10.2 Hypothesis Tests for a Population Proportion
• • 10.2A Using Simulation to Perform Hypothesis Tests on a Population Proportion (eText)
• • 10.2B Hypothesis Tests for a Population Proportion Using the Normal Model (eText)
• • 10.3 Hypothesis Tests for a Population Mean
• • 10.3A Using Simulation and the Bootstrap to Perform Hypothesis Tests on a Population Mean (eText)
• • 10.4 Putting It Together: Which Method Do I Use?
• • 10.5 Hypothesis Tests for a Population Standard Deviation (eText)
• • Chapter 10 Review
• • Chapter Test
• • Making an Informed Decision: Selecting a Mutual Fund

Chapter 11: Inference on Two Population Parameters

• • 11.1 Inference about Two Population Proportions
• • 11.1A Using Randomization Techniques to Compare Two Proportions (eText)
• • 11.2 Inference about Two Means: Dependent Samples
• • 11.2A Using Bootstrapping to Conduct Inference on Two Dependent Means (eText)
• • 11.3 Inference about Two Means: Independent Samples
• • 11.3A Using Randomization Techniques to Compare Two Independent Means (eText)
• • 11.4 Putting It Together: Which Method Do I Use?
• • 11.5 Inference about Two Population Standard Deviations (eText)
• • Chapter 11 Review
• • Chapter Test
• • Making an Informed Decision: Which Car Should I Buy?

Chapter 12: Additional Inferential Methods

• • 12.1 Goodness-of-Fit Test
• • 12.2 Tests for Independence and the Homogeneity of Proportions
• • 12.3 Testing the Significance of the Least-Squares Regression Model
• • 12.3A Using Randomization Techniques on the Slope of the Least-Squares Regression Line (eText)
• • 12.4 Confidence and Prediction Intervals
• • Chapter 12 Review
• • Chapter Test
• • Making an Informed Decision: Benefits of College

Chapter Appendix A: Tables

Chapter Appendix B: Appendix B (eText)

• • B.1 Lines
• • B.2 Inference about Two Population Proportions: Dependent Samples
• • B.3 Comparing Three or More Means (One-Way Analysis of Variance)