Statistics: Informed Decisions Using Data, Global Edition

Höfundur: Michael Sullivan III (Útgáfa: 7)
Statistics: Informed Decisions Using Data, Global Edition

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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Útgefandi
Pearson International Content
ISBN
9781292738727
Print ISBN
9781292738741
Format
ePub
Útgáfa
7
Höfundar
Michael Sullivan III
Tungumál
English
Útgefið
2025-07-11
Prent takmörkun á líftíma
100
Prent takmörkun
2
Afritunar takmörkun
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