Fundamentals of Statistics 4th Edition Michael Sullivan Solutions Manual

I. GETTING THE INFORMATION YOU NEED

• 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?

II. DESCRIPTIVE STATISTICS

• 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?
• 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?
• 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

III. PROBABILITY AND PROBABILITY DISTRIBUTIONS

• 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
• 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?
• 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

IV. INFERENCE: FROM SAMPLES TO POPULATION

• 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 . . . ?
• 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?
• 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
• 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?
• 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 Photo Credits

  Appendix A: Tables

  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)

  Answers

  Subject Index

  Tables and Formulas