Statistics: Informed Decisions Using Data, Global Edition
Höfundur:
Michael Sullivan III (Útgáfa: 7)
Kaup valmöguleikar
Statistics: Informed Decisions Using Data helps you see the bigger picture and make informed choices for real-life situations such as buying a car, investing money, and choosing a place to live. It offers a practical emphasis that shows how statistics is connected not only to concepts, but to our world at large. The 7th Edition adds a new set of Threaded Health and Nutrition Problems, drawing on National Health and Nutrition Examination Survey data obtained from the Centers for Disease Control and Prevention (CDC).
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- Pearson International Content
- 9781292738727
- 9781292738741
- ePub
- 7
- Michael Sullivan III
- English
- 2025-07-11
- 100
- 2
- 2
Kaflar
- Cover
- Cover
- Notes from the Author
- Sullivan's Pathway to Making an Informed Decision
- Sullivan's Guide to Putting It Together
- Threaded Tornado Problems
- NEW! Threaded National Health and Nutrition Examination Survey (NHANES) Problems
- Front Matter
- Title Page
- Copyright Page
- Dedication
- Table of Contents
- Preface to the Instructor
- Acknowledgments
- Applications Index
- List of Videos in This eTextbook
- PART 1: Getting the Information You Need
- PART 1: Getting the Information You Need
- Chapter 1: Data Collection
- Outline
- 1.1 Introduction to the Practice of Statistics
- 1.1 Assess Your Understanding
- 1.2 Observational Studies Versus Designed Experiments
- 1.2 Assess Your Understanding
- 1.3 Simple Random Sampling
- 1.3 Assess Your Understanding
- 1.4 Other Effective Sampling Methods
- 1.4 Assess Your Understanding
- 1.5 Bias in Sampling
- 1.5 Assess Your Understanding
- 1.6 The Design of Experiments
- 1.6 Assess Your Understanding
- Chapter 1 Review
- Chapter 1 Review Exercises
- Chapter 1 Test
- Chapter 1 Projects
- PART 2: Descriptive Stastics
- PART 2: Descriptive Stastics
- Chapter 2: Organizing and Summarizing Data
- Outline
- 2.1 Organizing Qualitative Data
- 2.1 Assess Your Understanding
- 2.2 Organizing Quantitative Data: The Popular Displays
- 2.2 Assess Your Understanding
- 2.3 Additional Displays of Quantitative Data
- 2.3 Assess Your Understanding
- 2.4 Graphical Misrepresentations of Data
- 2.4 Assess Your Understanding
- Chapter 2 Review
- Chapter 2 Review Exercises
- Chapter 2 Test
- Chapter 2 Projects
- Chapter 3: Numerically Summarizing Data
- Outline
- 3.1 Measures of Central Tendency
- 3.1 Assess Your Understanding
- 3.2 Measures of Dispersion
- 3.2 Assess Your Understanding
- 3.3 Measures of Central Tendency and Dispersion from Grouped Data
- 3.3 Assess Your Understanding
- 3.4 Measures of Position and Outliers
- 3.4 Assess Your Understanding
- 3.5 The Five-number Summary and Boxplots
- 3.5 Assess Your Understanding
- Chapter 3 Review
- Chapter 3 Review Exercises
- Chapter 3 Test
- Chapter 3 Projects
- Chapter 4: Describing the Relation Between Two Variables
- Outline
- 4.1 Scatter Diagrams and Correlation
- 4.1 Assess Your Understanding
- 4.2 Least-squares Regression
- 4.2 Assess Your Understanding
- 4.3 Diagnostics on the Least-squares Regression Line
- 4.3 Assess Your Understanding
- 4.4 Contingency Tables and Association
- 4.4 Assess Your Understanding
- 4.5 Nonlinear Regression: Transformations
- 4.5 Assess Your Understanding
- Chapter 4 Review
- Chapter 4 Review Exercises
- Chapter 4 Test
- Chapter 4 Projects
- PART 3: Probability and Probability Distributions
- PART 3: Probability and Probability Distributions
- Chapter 5: Probability
- Outline
- 5.1 Probability Rules
- 5.1 Assess Your Understanding
- 5.2 The Addition Rule and Complements
- 5.2 Assess Your Understanding
- 5.3 Independence and the Multiplication Rule
- 5.3 Assess Your Understanding
- 5.4 Conditional Probability and the General Multiplication Rule
- 5.4 Assess Your Understanding
- 5.5 Counting Techniques
- 5.5 Assess Your Understanding
- 5.6 Simulating Probability Experiments
- 5.6 Assess Your Understanding
- 5.7 Putting It Together: Which Method Do I Use?
- 5.7 Assess Your Understanding
- 5.8 Bayes’s Rule
- 5.8 Assess Your Understanding
- Chapter 5 Review
- Chapter 5 Review Exercise
- Chapter 5 Test
- Chapter 5 Projects
- Chapter 6: Discrete Probability Distributions
- Outline
- 6.1 Discrete Random Variables
- 6.1 Assess Your Understanding
- 6.2 The Binomial Probability Distribution
- 6.2 Assess Your Understanding
- 6.3 The Poisson Probability Distribution
- 6.3 Assess Your Understanding
- 6.4 The Hypergeometric Probability Distribution
- 6.4 Assess Your Understanding
- 6.5 Combining Random Variables
- 6.5 Assess Your Understanding
- Chapter 6 Review
- Chapter 6 Review Exercises
- Chapter Test
- Chapter 6 Projects
- Chapter 7: The Normal Probability Distribution
- Outline
- 7.1 Properties of the Normal Distribution
- 7. 1 Assess Your Understanding
- 7.2 Applications of the Normal Distribution
- 7.2 Assess Your Understanding
- 7.3 Assessing Normality
- 7.3 Assess Your Understanding
- 7.4 The Normal Approximation to the Binomial Probability Distribution
- 7.4 Assess Your Understanding
- Chapter 7 Review
- Chapter 7 Review Exercises
- Chapter Test
- Chapter 7 Projects
- PART 4: Inference: From Samples to Population
- PART 4: Inference: From Samples to Population
- Chapter 8: Sampling Distributions
- Outline
- 8.1 Distribution of the Sample Mean
- 8.1 Assess Your Understanding
- 8.2 Distribution of the Sample Proportion
- 8.2 Assess Your Understanding
- Chapter 8 Review
- Chapter 8 Review Exercises
- Chapter 8 Test
- Chapter 8 Projects
- Chapter 9: Estimating the Value of a Parameter
- Outline
- 9.1 Estimating a Population Proportion
- 9.1 Assess Your Understanding
- 9.2 Estimating a Population Mean
- 9.2 Assess Your Understanding
- 9.3 Estimating a Population Standard Deviation
- 9.3 Assess Your Understanding
- 9.4 Putting It Together: Which Method Do I Use?
- 9.4 Assess Your Understanding
- 9.5 Estimating with Bootstrapping
- 9.5 Assess Your Understanding
- Chapter 9 Review
- Chapter 9 Review Exercises
- Chapter 9 Test
- Chapter 9 Projects
- Chapter 10: Hypothesis Tests Regarding a Parameter
- Outline
- 10.1 The Language of Hypothesis Testing
- 10.1 Assess Your Understanding
- 10.2 Hypothesis Tests for a Population Proportion
- 10.2 Assess Your Understanding
- 10.2A Using Simulation to Perform Hypothesis Tests on a Population Proportion
- 10.2A Assess Your Understanding
- 10.2B Hypothesis Tests for a Population Proportion Using the Normal Model
- 10.2B Assess Your Understanding
- 10.3 Hypothesis Tests for a Population Mean
- 10.3 Assess Your Understanding
- 10.3A Using Simulation and the Bootstrap to Perform Hypothesis Tests on a Population Mean
- 10.3A Assess Your Understanding
- 10.3B Hypothesis Tests for a Population Mean Using Student’s t-Distribution
- 10.3B Assess Your Understanding
- 10.4 Hypothesis Tests for a Population Standard Deviation
- 10.4 Assess Your Understanding
- 10.5 Putting It Together: Which Method Do I Use?
- 10.5 Assess Your Understanding
- 10.6 The Probability of a Type II Error and the Power of the Test
- 10.6 Assess Your Understanding
- Chapter 10 Review
- Chapter 10 Review Exercises
- Chapter 10 Test
- Chapter 10 Projects
- Chapter 11: Inference on Two Population Parameters
- Outline
- 11.1 Inference About Two Population Proportions
- 11.1 Assess Your Understanding
- 11.1A Using Randomization Techniques to Compare Two Proportions
- 11.1A Assess Your Understanding
- 11.1B Inference About Two Population Proportions Using the Normal Model
- 11.1B Assess Your Understanding
- 11.2 Inference About Two Population Means: Dependent Samples
- 11.2 Assess Your Understanding
- 11.2A Using Bootstrapping to Conduct Inference on Two Dependent Means
- 11.2A Assess Your Understanding
- 11.2B Inference About Two Population Means: Dependent Samples Using Student’s t-Distribution
- 11.2B Assess Your Understanding
- 11.3 Inference About Two Population Means: Independent Samples
- 11.3 Assess Your Understanding
- 11.3A Using Randomization Techniques to Compare Two Independent Means
- 11.3A Assess Your Understanding
- 11.3B Inference About Two Population Means: Independent Samples Using Student’s t-Distribution
- 11.3B Assess Your Understanding
- 11.4 Inference About Two Population Standard Deviations
- 11.4 Assess Your Understanding
- 11.5 Putting It Together: Which Method Do I Use?
- 11.5 Assess Your Understanding
- Chapter 11 Review
- Chapter 11 Review Exercises
- Chapter 11 Test
- Chapter 11 Projects
- Chapter 12: Inference on Categorical Data
- Outline
- 12.1 Goodness-of-Fit Test
- 12.1 Assess Your Understanding
- 12.2 Tests for Independence and the Homogeneity of Proportions
- 12.2 Assess Your Understanding
- 12.3 Inference About Two Population Proportions: Dependent Samples
- 12.3 Assess Your Understanding
- Chapter 12 Review
- Chapter 12 Review Exercises
- Chapter 12 Test
- Chapter 12 Projects
- Chapter 13: Comparing Three or More Means
- Outline
- 13.1 Comparing Three or More Means (One-Way Analysis of Variance)
- 13.1 Assess Your Understanding
- 13.2 Post Hoc Tests on One-way Analysis of Variance
- 13.2 Assess Your Understanding
- 13.3 The Randomized Complete Block Design
- 13.3 Assess Your Understanding
- 13.4 Two-way Analysis of Variance
- 13.4 Assess Your Understanding
- Chapter 13 Review
- Chapter 13 Review Exercises
- Chapter Test
- Chapter 13 Projects
- Chapter 14: Inference on the Least-squares Regression Model and Multiple Regression
- Outline
- 14.1 Testing the Significance of the Least-squares Regression Model
- 14.1 Assess Your Understanding
- 14.1A Using Randomization Techniques on the Slope of the Least-squares Regression Line
- 14.1A Assess Your Understanding
- 14.1B Testing the Significance of the Least-squares Regression Model Using Student’s t-Distribution
- 14.1B Assess Your Understanding
- 14.2 Confidence and Prediction Intervals
- 14.2 Assess Your Understanding
- 14.3 Introduction to Multiple Regression
- 14.3 Assess Your Understanding
- 14.4 Interaction and Dummy Variables
- 14.4 Assess Your Understanding
- 14.5 Polynomial Regression
- 14.5 Assess Your Understanding
- 14.6 Building a Regression Model
- 14.6 Assess Your Understanding
- Chapter 14 Review
- Review Exercises
- Chapter Test
- Chapter 14 Projects
- Chapter 15: Nonparametric Statistics
- Outline
- 15.1 An Overview of Nonparametric Statistics
- 15.1 Assess Your Understanding
- 15.2 Runs Test for Randomness
- 15.2 Assess Your Understanding
- 15.3 Inference About Measures of Central Tendency
- 15.3 Assess Your Understanding
- 15.4 Inference About the Difference Between Two Medians: Dependent Samples
- 15.4 Assess Your Understanding
- 15.5 Inference About the Difference Between Two Medians: Independent Samples
- 15.5 Assess Your Understanding
- 15.6 Spearman’s Rank-correlation Test
- 15.6 Assess Your Understanding
- 15.7. Kruskal-Wallis Test
- 15.7 Assess Your Understanding
- Chapter 15 Review
- Chapter 15 Review Exercises
- Chapter Test
- Chaper 15 Projects
- Appendix A: Tables
- Tables
- Appendix B: Lines
- Lines
- Appendix B Assess Your Understanding
- Answers
- CHAPTER 1 Data Collection
- CHAPTER 2 Organizing and Summarizing Data
- CHAPTER 3 Numerically Summarizing Data
- CHAPTER 4 Describing the Relation Between Two Variables
- CHAPTER 5 Probability
- CHAPTER 6 Discrete Probability Distributions
- CHAPTER 7 The Normal Probability Distribution
- CHAPTER 8 Sampling Distributions
- CHAPTER 9 Estimating the Value of a Parameter
- CHAPTER 10 Hypothesis Tests Regarding a Parameter
- CHAPTER 11 Inferences on Two Population Parameters
- CHAPTER 12 Inference on Categorical Data
- CHAPTER 13 Comparing Three or More Means
- CHAPTER 14 Inference on the Least-squares Regression Model and Multiple Regression
- CHAPTER 15 Nonparametric Statistics
- APPENDIX B Lines
- Subject Index
- A
- B
- C
- D
- E
- F
- G
- H
- I
- J
- K
- L
- M
- N
- O
- P
- Q
- R
- S
- T
- U
- V
- W
- X
- Y
- Z
- Tables and Formulas
- Chapter 2 Organizing and Summarizing Data
- Chapter 3 Numerically Summarizing Data
- Chapter 4 Describing the Relation between Two Variables
- Chapter 5 Probability
- Chapter 6 Discrete Probability Distributions
- Chapter 7 The Normal Distribution
- Chapter 8 Sampling Distributions
- Chapter 9 Estimating the Value of a Parameter
- Chapter 10 Hypothesis Tests Regarding a Parameter
- Chapter 11 Inferences on Two Samples
- Chapter 12 Inference on Categorical Data
- Chapter 13 Comparing Three or More Means
- Chapter 14 Inference on the Least-Squares Regression Model and Multiple Regression
- Chapter 15 Non parametric Statistics
- Tables
- Integrated Review Materials to Accompany Sullivan Statistics
- Integrated Review Materials to accompany Sullivan Statistics
- Copyright Page
- Copyright
- Contents
- Contents
- Preface to Instructors for Integrated Review
- Preface to Instructors for Integrated Review
- Preface to Students for Integrated Review
- Preface to Students for Integrated Review
- Chapter 1 Integrated Review: Getting Ready for Organizing and Summarizing Data
- Outline
- 1.IR1 Exercises
- 1.IR2 Fundamentals of Decimals
- 1.IR2 Exercises
- 1.IR3 The Real Number Line
- 1.IR3 Exercises
- 1.IR4 Multiplying and Dividing Fractions
- 1.IR4 Exercises
- 1.IR5 Adding and Subtracting Fractions
- 1.IR5 Exercises
- 1.IR6 Operations on Decimals
- 1.IR6 Exercises
- 1.IR7 Fundamentals of Percent Notation
- 1.IR7 Exercises
- 1.IR8 Language Used in Modeling
- 1.IR8 Exercises
- Chapter 2 Integrated Review: Getting Ready for Numerically Summarizing Data
- Outline
- 2.IR1 Exercises
- 2.IR2 Square Roots
- 2.IR2 Exercises
- 2.IR3 Simplifying Algebraic Expressions; Summation Notation
- 2.IR3 Exercises
- 2.IR4 Solving Linear Equations
- 2.IR4 Exercises
- 2.IR5 Using Linear Equations to Solve Problems
- 2.IR5 Exercises
- Chapter 3 Integrated Review: Getting Ready for Least-Squares Regression
- Outline
- 3.IR1 Exercises
- 3.IR2 Graphing Equations in Two Variables
- 3.IR2 Exercises
- 3.IR3 Slope
- 3.IR3 Exercises
- 3.IR4 Slope-Intercept Form of a Line
- 3.IR4 Exercises
- 3.IR5 Point-Slope Form of a Line
- 3.IR5 Exercises
- Chapter 4 Integrated Review: Getting Ready for Probability
- Outline
- 4.IR1 Exercises
- 4.IR2 Interval Notation; Intersection and Union of Sets
- 4.IR2 Exercises
- 4.IR3 Linear Inequalities
- 4.IR3 Exercises
- Chapter 6 Integrated Review: Getting Ready for the Normal Probability Distribution
- Outline
- 6.IR1 Exercises
- Chapter 8 Integrated Review: Getting Ready for Confidence Intervals
- Outline
- 8.IR1 Exercises
- 8.IR2 Absolute Value Equations and Inequalities
- 8.IR2 Exercises
- Appendix A: Functions, Exponential Functions, Logarithmic Functions
- A.IR1 Relations
- A.IR1 Exercises
- A.IR2 An Introduction to Functions
- A.IR2 Exercises
- A.IR3 Functions and Their Graphs
- A.IR3 Exercises
- A.IR4 Linear Functions and Models
- A.IR4 Exercises
- Getting Ready for Exponential and Logarithmic Functions
- Getting Ready Exercises
- A.IR5 Exponential Functions
- A.IR5 Exercises
- A.IR6 Logarithmic Functions
- A.IR6 Exercises
- A.IR7 Properties of Logarithms
- A.IR7 Exercises
- A.IR8 Exponential Equations
- A.IR8 Exercises
- Answers to Selected Exercises
- Chapter 1 Integrated Review: Getting Ready for Organizing and Summarizing Data
- Chapter 2 Integrated Review: Getting Ready for Numerically Summarizing Data
- Chapter 3 Integrated Review: Getting Ready for Least-Squares Regression
- Chapter 4 Integrated Review: Getting Ready for Probability
- Chapter 6 Integrated Review: Getting Ready for the Normal Probability Distribution
- Chapter 8 Integrated Review: Getting Ready for Confidence Intervals
- Appendix A Functions, Exponential Functions, Logarithmic Functions
- Getting Ready for Exponential and Logarithmic Functions