This package includes MyStatLab™.
For courses in Business Statistics
Business Statistics, Third Edition, by Sharpe, De Veaux, and Velleman, narrows the gap between theory and practice–relevant statistical methods empower business students to make effective, data-informed decisions. With their unique blend of teaching, consulting, and entrepreneurial experiences, this dynamic author team brings a modern edge to teaching statistics to business students. Focusing on statistics in the context of real business issues, with an emphasis on analysis and understanding over computation, the text helps students be analytical, prepares them to make better business decisions, and shows them how to effectively communicate results.
This program provides a better teaching and learning experience—for you and your students. Here’s how:
Grounded in modern business, this text provides a real-world context for statistical concepts, preparing students to be successful in the business world.
Practice and support: Study tools throughout the text prepare students to analyze and interpret data.
Integrated technology: Optional coverage helps students use real statistics software
NEW! Improved organization and a streamlined design make the text more accessible than ever.
Personalized learning with MyStatLab: the accompanying MyStatLab™ online course provides users with countless opportunities to practice, plus statistics specific resources and tools that enhance their experience and comprehension.
This package includes MyStatLab, an online homework, tutorial, and assessment program designed to work with this text to personalize learning and improve results. With a wide range of interactive, engaging, and assignable activities, students are encouraged to actively learn and retain tough course concepts.
MyStatLab should only be purchased when required by an instructor. Please be sure you have the correct ISBN and Course ID. Instructors, contact your Pearson representative for more information.
Features + Benefits
This title is a Pearson Global Edition. The Editorial team at Pearson has worked closely with educators around the world to include content which is especially relevant to students outside the United States.
Grounded in modern business, this text provides a real-world context for statistical concepts, preparing students to be successful in the business world.
The authors’ unique blend of teaching, consulting, and entrepreneurial experiences, along with the casual writing style, which is often infused with humor, add to the text’s appeal to today’s students.
NEW! Increased focus on core material. Discussions have been tightened to get students into the material as quickly as possible, focusing increasingly n the central ideas and core material.
Real data in hundreds of examples, exercises, and applications tie the concepts to the way statistics is used to make better business decisions.
Motivating chapter opening vignettes: scenarios using real data to present a statistical issue in a managerial setting from a well-known company in such areas as marketing, finance, and economics
Brief Cases at the end of each chapter–using real data and asking students to investigate a question or make a business decision.
Case Studies at the end of each part–more in-depth than the brief Cases
NEW! Updated examples reflect the changing world and the marked changes in the U.S. and world economies.
The emphasis on better statistical thinking trains students to apply statistics correctly.
A focus on checking assumptions and conditions when using statistical procedures is emphasized throughout the text and the examples.
Ethics in Action vignettes illustrate the judgment needed in statistical analysis. Questions are included for study and reflection.
NEW! More than half of the Ethics in Action features are updated. Ethically and statistically sound alternative approaches and a link to the American Statistical Association’s Ethical Guidelines are now presented in the Instructor's Solutions Manual, making the Ethics features suitable for assignment or class discussion.
What Can Go Wrong? sections prepare students with the tools they need to detect common statistical errors and offer practice in debunking misuses of statistics.
Practice and support: Study tools throughout the text prepare students to analyze and interpret data.
Plan/Do/Report Guided Examples provide a model to help students approach and solve any business statistics problem. Reports are frequently presented in the form of a business memo, helping students become familiar with framing and communicating results in a business setting.
Helpful Margin Notes include By Hand boxes break apart the calculation of some of the simpler formulas, Notation Alerts thatcall out special notations, and Math Boxes present the mathematical underpinnings of the statistical methods and concepts.
Just Checking questions ask students to stop and think about what they’ve just read. These questions involve little to no calculation, and answers are provided at the end of the chapter so students can check their work.
What Have We Learned? chapter summaries provide an overview of the chapter’s concepts through annotated learning objectives and a list of boldface (new) terms and their definitions.
Exercises are included within each chapter and progress in difficulty and complexity.
Integrated technology: Optional coverage helps students use real statistics software
NEW! Enhanced Technology Help with expanded Excel® 2013 coverage. We've updated Technology Help and added detailed instructions for Excel 2013 to almost every chapter. Increased coverage of Excel includes screenshots and, in Technology Help sections, guidance for using Excel 2010 to demonstrate how to use Excel to perform statistical analysis.
Technology Help sections have been updated to reflect the latest technology releases. Technology Help now includes step-by-step guidance for XLSTAT™ for Pearson, an Excel add-in offered (bundled) with the textbook.
XLSTAT™ for Pearson is an Excel add-in that enhances the analytical capabilities of Excel. Developed in 1993, XLSTAT is used by leading businesses and universities around the world. XLSTAT is compatible with all Excel versions (except Mac 2008) and is compatible with both Windows® and Mac® systems.
NEW! Improved organization and a streamlined design make the text more accessible than ever. While retaining the text’s successful “data first” presentation of topics, the authors have improved the way the book is organized.
Chapters 1—4 are streamlined to cover collecting, displaying, summarizing, and understanding data in four chapters, giving students a solid foundation to launch their study of probability and statistics.
Chapters 5—9 introduce students to randomness and probability, and then apply these new concepts to sampling as a gateway to the core material on statistical inference. Discussion of probability tees and Bayes’ rule is now in these chapters.
Chapters 10—14 cover inference for both proportions and means.
Chapters 15—19 cover regression-based models for decision making.
Chapters 20—25 discuss special topics that can be selected according to the needs of the course and the instructor’s preferences.
This package includes MyStatLab, an online homework, tutorial, and assessment program designed to work with this text to personalize learning and improve results. With a wide range of interactive, engaging, and assignable activities, students are encouraged to actively learn and retain tough course concepts.
Personalized learning with MyStatLab™:
The accompanying MyStatLab online course provides users with countless opportunities to practice, plus resources and tools specific to statistics that enhance their experience and comprehension.
StatCrunch® instructions and displays (Pearson’s powerful online statistical software) are now integrated into the text as well as the MyStatLab course.
A variety of relevant and modern videos are available through MyStatLab.
Technology Tutorial videos walk students through using key technologies packages that are covered in the book.
New and updated Chapter Review videos cover important definitions, procedures and concepts from each section by working through examples and exercises from the textbook. This is an excellent resource for students who have missed class or simply wish to review a topic, and for students enrolled in distance learning, individual study, or self-paced learning programs.
Business Insight Videos: 10 engaging videos show managers at top companies using statistics in their everyday work. Assignable question encourage discussion.
New StatTalk Videos explain the concepts of statistics in a friendly, easy-to-understand way, and can be enjoyed by students of all levels. Preface
Index of Applications
1. Data and Decisions (E-Commerce)
1.1 Data and Decisions
1.2 Variable Types
1.3 Data Sources: Where, How, and When
Ethics in Action
Technology Help: Data on the Computer
Brief Case: Credit Card Bank
2. Displaying and Describing Categorical Data (Keen, Inc.)
2.1 Summarizing a Categorical Variable
2.2 Displaying a Categorical Variable
2.3 Exploring Two Categorical Variables: Contingency Tables
2.4 Segmented Bar Charts and Mosaic Plots
2.5 Simpson's Paradox
Ethics in Action
Technology Help: Displaying Categorical Data on the Computer
Brief Case: Credit Card Bank
3. Displaying and Describing Quantitative Data (AIG)
3.1 Displaying Quantitative Variables
3.2 Shape
3.3 Center
3.4 Spread of the Distribution
3.5 Shape, Center, and Spread–A Summary
3.6 Standardizing Variables
3.7 Five-Number Summary and Boxplots
3.8 Comparing Groups,
3.9 Identifying Outliers,
3.10 Time Series Plots
3.11 Transforming Skewed Data
Ethics in Action
Technology Help: Displaying and Summarizing Quantitative Variables
Brief Cases: Detecting the Housing Bubble and Socio-Economic Data on States
4. Correlation and Linear Regression (Amazon.com)
4.1 Looking at Scatterplots
4.2 Assigning Roles to Variables in Scatterplots
4.3 Understanding Correlation
4.4 Lurking Variables and Causation
4.5 The Linear Model
4.6 Correlation and the Line
4.7 Regression to the Mean
4.8 Checking the Model
4.9 Variation in the Model and R2
4.10 Reality Check: Is the Regression Reasonable?
4.11 Nonlinear Relationships
Ethics in Action
Technology Help: Correlation and Regression
Brief Cases: Fuel Efficiency, Cost of Living, and Mutual Funds
Case Study I: Paralyzed Veterans of America
5. Randomness and Probability (Credit Reports and the Fair Isaacs Corporation)
5.1 Random Phenomena and Probability
5.2 The Nonexistent Law of Averages
5.3 Different Types of Probability
5.4 Probability Rules
5.5 Joint Probability and Contingency Tables
5.6 Conditional Probability
5.7 Constructing Contingency Tables
5.8 Probability Trees
5.9 Reversing the Conditioning: Bayes’ Rule
Ethics in Action
Technology Help: Generating Random Numbers
Brief Case
6. Random Variables and Probability Models (Metropolitan Life Insurance Company)
6.1 Expected Value of a Random Variable
6.2 Standard Deviation of a Random Variable
6.3 Properties of Expected Values and Variances
6.4 Bernoulli Trials
6.5 Discrete Probability Models
Ethics in Action
Technology Help: Random Variables and Probability Models
Brief Case: Investment Options
7. The Normal and other Continuous Distributions (The NYSE)
7.1 The Standard Deviation as a Ruler
7.2 The Normal Distribution
7.3 Normal Probability Plots
7.4 The Distribution of Sums of Normals
7.5 The Normal Approximation for the Binomial
7.6 The Other Continuous Random Variables
Ethics in Action
Technology Help: Probability Calculations and Plots
Brief Case
8. Surveys and Sampling (Roper Polls)
8.1 Three Ideas of Sampling
8.2 Populations and Parameters
8.3 Common Sampling Designs
8.4 The Valid Survey
8.5 How to Sample Badly
Ethics in Action
Technology Help: Random Sampling
Brief Cases: Market Survey Research and The GfK Roper Reports Worldwide Survey
9. Sampling Distributions and Confidence Intervals for Proportions (Marketing Credit Cards: The MBNA Story)
9.1 The Distribution of Sample Proportions
9.2 A Confidence Interval
9.3 Margin of Error: Certainty vs. Precision
9.4 Choosing and Sample Size
Ethics in Action
Technology Help: Confidence Intervals for Proportions
Brief Case: Real Estate Simulation
Case Study II
10. Testing Hypotheses about Proportions (Dow Jones Industrial Average)
10.1 Hypotheses
10.2 A Trial as a Hypothesis Test
10.3 P-Values
10.4 The Reasoning of Hypothesis Testing
10.5 Alternative Hypotheses
10.6 p-Values and Decisions: What to Tell About a Hypothesis Test
Ethics in Action
Technology Help: Hypothesis Tests
Brief Cases: Metal Production and Loyalty Program
11. Confidence Intervals and Hypothesis Tests for Means (Guinness & Co.)
11.1 The Central Limit Theorem
11.2 The Sampling Distribution of the Mean
11.3 How Sampling Distribution Models Work
11.4 Gossett and the t-Distribution
11.5 A Confidence Interval for Means
11.6 Assumptions and Conditions
11.7 Testing Hypothesis about Means–the One-Sample t-Test
Ethics in Action
Technology Help: Inference for Means
Brief Cases: Real Estate and Donor Profiles
12. More About Tests and Intervals (Traveler’s Insurance)
12.1 How to Think About P-Values
12.2 Alpha Levels and Significance
12.3 Critical Values
12.4 Confidence Intervals and Hypothesis Tests
12.5 Two Types of Errors
12.6 Power
Ethics in Action
Technology Help: Hypothesis Tests
Brief Case
13. Comparing Two Means (Visa Global Organization)
13.1 Comparing Two Means
13.2 The Two-Sample t-Test
13.3 Assumptions and Conditions
13.4 A Confidence Interval for the Difference Between Two Means
13.5 The Pooled t-Test
13.6 Paired Data
13.7 Paired Methods
Ethics in Action
Technology Help: Two-Sample Methods
Technology Help: Paired t
Brief Cases: Real Estate and Consumer Spending Patterns (Data Analysis)
14. Inference for Counts: Chi-Square Tests (SAC Capital)
14.1 Goodness-of-Fit Tests
14.2 Interpreting Chi-Square Values
14.3 Examining the Residuals
14.4 The Chi-Square Test of Homogeneity
14.5 Comparing Two Proportions
14.6 Chi-Square Test of Independence
Ethics in Action
Technology Help: Chi-Square
Brief Cases: Health Insurance and Loyalty Program
Case Study III: Investment Strategy Segmentation
15. Inference for Regression (Nambé Mills)
15.1 A Hypothesis Test and Confidence Interval for the Slope
15.2 Assumptions and Conditions
15.3 Standard Errors for Predicted Values
15.4 Using Confidence and Prediction Intervals
Ethics in Action
Technology Help: Regression Analysis
Brief Cases: Frozen Pizza and Global Warming?
16. Understanding Residuals (Kellogg’s)
16.1 Examining Residuals for Groups
16.2 Extrapolation and Prediction
16.3 Unusual and Extraordinary Observations
16.4 Working with Summary Values
16.5 Autocorrelation
16.6 Transforming (Re-expressing) Data
16.7 The Ladder of Powers
Ethics in Action
Technology Help: Examining Residuals
Brief Cases: Gross Domestic Product and Energy S
For courses in Business Statistics
Business Statistics, Third Edition, by Sharpe, De Veaux, and Velleman, narrows the gap between theory and practice–relevant statistical methods empower business students to make effective, data-informed decisions. With their unique blend of teaching, consulting, and entrepreneurial experiences, this dynamic author team brings a modern edge to teaching statistics to business students. Focusing on statistics in the context of real business issues, with an emphasis on analysis and understanding over computation, the text helps students be analytical, prepares them to make better business decisions, and shows them how to effectively communicate results.
This program provides a better teaching and learning experience—for you and your students. Here’s how:
Grounded in modern business, this text provides a real-world context for statistical concepts, preparing students to be successful in the business world.
Practice and support: Study tools throughout the text prepare students to analyze and interpret data.
Integrated technology: Optional coverage helps students use real statistics software
NEW! Improved organization and a streamlined design make the text more accessible than ever.
Personalized learning with MyStatLab: the accompanying MyStatLab™ online course provides users with countless opportunities to practice, plus statistics specific resources and tools that enhance their experience and comprehension.
This package includes MyStatLab, an online homework, tutorial, and assessment program designed to work with this text to personalize learning and improve results. With a wide range of interactive, engaging, and assignable activities, students are encouraged to actively learn and retain tough course concepts.
MyStatLab should only be purchased when required by an instructor. Please be sure you have the correct ISBN and Course ID. Instructors, contact your Pearson representative for more information.
Features + Benefits
This title is a Pearson Global Edition. The Editorial team at Pearson has worked closely with educators around the world to include content which is especially relevant to students outside the United States.
Grounded in modern business, this text provides a real-world context for statistical concepts, preparing students to be successful in the business world.
The authors’ unique blend of teaching, consulting, and entrepreneurial experiences, along with the casual writing style, which is often infused with humor, add to the text’s appeal to today’s students.
NEW! Increased focus on core material. Discussions have been tightened to get students into the material as quickly as possible, focusing increasingly n the central ideas and core material.
Real data in hundreds of examples, exercises, and applications tie the concepts to the way statistics is used to make better business decisions.
Motivating chapter opening vignettes: scenarios using real data to present a statistical issue in a managerial setting from a well-known company in such areas as marketing, finance, and economics
Brief Cases at the end of each chapter–using real data and asking students to investigate a question or make a business decision.
Case Studies at the end of each part–more in-depth than the brief Cases
NEW! Updated examples reflect the changing world and the marked changes in the U.S. and world economies.
The emphasis on better statistical thinking trains students to apply statistics correctly.
A focus on checking assumptions and conditions when using statistical procedures is emphasized throughout the text and the examples.
Ethics in Action vignettes illustrate the judgment needed in statistical analysis. Questions are included for study and reflection.
NEW! More than half of the Ethics in Action features are updated. Ethically and statistically sound alternative approaches and a link to the American Statistical Association’s Ethical Guidelines are now presented in the Instructor's Solutions Manual, making the Ethics features suitable for assignment or class discussion.
What Can Go Wrong? sections prepare students with the tools they need to detect common statistical errors and offer practice in debunking misuses of statistics.
Practice and support: Study tools throughout the text prepare students to analyze and interpret data.
Plan/Do/Report Guided Examples provide a model to help students approach and solve any business statistics problem. Reports are frequently presented in the form of a business memo, helping students become familiar with framing and communicating results in a business setting.
Helpful Margin Notes include By Hand boxes break apart the calculation of some of the simpler formulas, Notation Alerts thatcall out special notations, and Math Boxes present the mathematical underpinnings of the statistical methods and concepts.
Just Checking questions ask students to stop and think about what they’ve just read. These questions involve little to no calculation, and answers are provided at the end of the chapter so students can check their work.
What Have We Learned? chapter summaries provide an overview of the chapter’s concepts through annotated learning objectives and a list of boldface (new) terms and their definitions.
Exercises are included within each chapter and progress in difficulty and complexity.
Integrated technology: Optional coverage helps students use real statistics software
NEW! Enhanced Technology Help with expanded Excel® 2013 coverage. We've updated Technology Help and added detailed instructions for Excel 2013 to almost every chapter. Increased coverage of Excel includes screenshots and, in Technology Help sections, guidance for using Excel 2010 to demonstrate how to use Excel to perform statistical analysis.
Technology Help sections have been updated to reflect the latest technology releases. Technology Help now includes step-by-step guidance for XLSTAT™ for Pearson, an Excel add-in offered (bundled) with the textbook.
XLSTAT™ for Pearson is an Excel add-in that enhances the analytical capabilities of Excel. Developed in 1993, XLSTAT is used by leading businesses and universities around the world. XLSTAT is compatible with all Excel versions (except Mac 2008) and is compatible with both Windows® and Mac® systems.
NEW! Improved organization and a streamlined design make the text more accessible than ever. While retaining the text’s successful “data first” presentation of topics, the authors have improved the way the book is organized.
Chapters 1—4 are streamlined to cover collecting, displaying, summarizing, and understanding data in four chapters, giving students a solid foundation to launch their study of probability and statistics.
Chapters 5—9 introduce students to randomness and probability, and then apply these new concepts to sampling as a gateway to the core material on statistical inference. Discussion of probability tees and Bayes’ rule is now in these chapters.
Chapters 10—14 cover inference for both proportions and means.
Chapters 15—19 cover regression-based models for decision making.
Chapters 20—25 discuss special topics that can be selected according to the needs of the course and the instructor’s preferences.
This package includes MyStatLab, an online homework, tutorial, and assessment program designed to work with this text to personalize learning and improve results. With a wide range of interactive, engaging, and assignable activities, students are encouraged to actively learn and retain tough course concepts.
Personalized learning with MyStatLab™:
The accompanying MyStatLab online course provides users with countless opportunities to practice, plus resources and tools specific to statistics that enhance their experience and comprehension.
StatCrunch® instructions and displays (Pearson’s powerful online statistical software) are now integrated into the text as well as the MyStatLab course.
A variety of relevant and modern videos are available through MyStatLab.
Technology Tutorial videos walk students through using key technologies packages that are covered in the book.
New and updated Chapter Review videos cover important definitions, procedures and concepts from each section by working through examples and exercises from the textbook. This is an excellent resource for students who have missed class or simply wish to review a topic, and for students enrolled in distance learning, individual study, or self-paced learning programs.
Business Insight Videos: 10 engaging videos show managers at top companies using statistics in their everyday work. Assignable question encourage discussion.
New StatTalk Videos explain the concepts of statistics in a friendly, easy-to-understand way, and can be enjoyed by students of all levels. Preface
Index of Applications
1. Data and Decisions (E-Commerce)
1.1 Data and Decisions
1.2 Variable Types
1.3 Data Sources: Where, How, and When
Ethics in Action
Technology Help: Data on the Computer
Brief Case: Credit Card Bank
2. Displaying and Describing Categorical Data (Keen, Inc.)
2.1 Summarizing a Categorical Variable
2.2 Displaying a Categorical Variable
2.3 Exploring Two Categorical Variables: Contingency Tables
2.4 Segmented Bar Charts and Mosaic Plots
2.5 Simpson's Paradox
Ethics in Action
Technology Help: Displaying Categorical Data on the Computer
Brief Case: Credit Card Bank
3. Displaying and Describing Quantitative Data (AIG)
3.1 Displaying Quantitative Variables
3.2 Shape
3.3 Center
3.4 Spread of the Distribution
3.5 Shape, Center, and Spread–A Summary
3.6 Standardizing Variables
3.7 Five-Number Summary and Boxplots
3.8 Comparing Groups,
3.9 Identifying Outliers,
3.10 Time Series Plots
3.11 Transforming Skewed Data
Ethics in Action
Technology Help: Displaying and Summarizing Quantitative Variables
Brief Cases: Detecting the Housing Bubble and Socio-Economic Data on States
4. Correlation and Linear Regression (Amazon.com)
4.1 Looking at Scatterplots
4.2 Assigning Roles to Variables in Scatterplots
4.3 Understanding Correlation
4.4 Lurking Variables and Causation
4.5 The Linear Model
4.6 Correlation and the Line
4.7 Regression to the Mean
4.8 Checking the Model
4.9 Variation in the Model and R2
4.10 Reality Check: Is the Regression Reasonable?
4.11 Nonlinear Relationships
Ethics in Action
Technology Help: Correlation and Regression
Brief Cases: Fuel Efficiency, Cost of Living, and Mutual Funds
Case Study I: Paralyzed Veterans of America
5. Randomness and Probability (Credit Reports and the Fair Isaacs Corporation)
5.1 Random Phenomena and Probability
5.2 The Nonexistent Law of Averages
5.3 Different Types of Probability
5.4 Probability Rules
5.5 Joint Probability and Contingency Tables
5.6 Conditional Probability
5.7 Constructing Contingency Tables
5.8 Probability Trees
5.9 Reversing the Conditioning: Bayes’ Rule
Ethics in Action
Technology Help: Generating Random Numbers
Brief Case
6. Random Variables and Probability Models (Metropolitan Life Insurance Company)
6.1 Expected Value of a Random Variable
6.2 Standard Deviation of a Random Variable
6.3 Properties of Expected Values and Variances
6.4 Bernoulli Trials
6.5 Discrete Probability Models
Ethics in Action
Technology Help: Random Variables and Probability Models
Brief Case: Investment Options
7. The Normal and other Continuous Distributions (The NYSE)
7.1 The Standard Deviation as a Ruler
7.2 The Normal Distribution
7.3 Normal Probability Plots
7.4 The Distribution of Sums of Normals
7.5 The Normal Approximation for the Binomial
7.6 The Other Continuous Random Variables
Ethics in Action
Technology Help: Probability Calculations and Plots
Brief Case
8. Surveys and Sampling (Roper Polls)
8.1 Three Ideas of Sampling
8.2 Populations and Parameters
8.3 Common Sampling Designs
8.4 The Valid Survey
8.5 How to Sample Badly
Ethics in Action
Technology Help: Random Sampling
Brief Cases: Market Survey Research and The GfK Roper Reports Worldwide Survey
9. Sampling Distributions and Confidence Intervals for Proportions (Marketing Credit Cards: The MBNA Story)
9.1 The Distribution of Sample Proportions
9.2 A Confidence Interval
9.3 Margin of Error: Certainty vs. Precision
9.4 Choosing and Sample Size
Ethics in Action
Technology Help: Confidence Intervals for Proportions
Brief Case: Real Estate Simulation
Case Study II
10. Testing Hypotheses about Proportions (Dow Jones Industrial Average)
10.1 Hypotheses
10.2 A Trial as a Hypothesis Test
10.3 P-Values
10.4 The Reasoning of Hypothesis Testing
10.5 Alternative Hypotheses
10.6 p-Values and Decisions: What to Tell About a Hypothesis Test
Ethics in Action
Technology Help: Hypothesis Tests
Brief Cases: Metal Production and Loyalty Program
11. Confidence Intervals and Hypothesis Tests for Means (Guinness & Co.)
11.1 The Central Limit Theorem
11.2 The Sampling Distribution of the Mean
11.3 How Sampling Distribution Models Work
11.4 Gossett and the t-Distribution
11.5 A Confidence Interval for Means
11.6 Assumptions and Conditions
11.7 Testing Hypothesis about Means–the One-Sample t-Test
Ethics in Action
Technology Help: Inference for Means
Brief Cases: Real Estate and Donor Profiles
12. More About Tests and Intervals (Traveler’s Insurance)
12.1 How to Think About P-Values
12.2 Alpha Levels and Significance
12.3 Critical Values
12.4 Confidence Intervals and Hypothesis Tests
12.5 Two Types of Errors
12.6 Power
Ethics in Action
Technology Help: Hypothesis Tests
Brief Case
13. Comparing Two Means (Visa Global Organization)
13.1 Comparing Two Means
13.2 The Two-Sample t-Test
13.3 Assumptions and Conditions
13.4 A Confidence Interval for the Difference Between Two Means
13.5 The Pooled t-Test
13.6 Paired Data
13.7 Paired Methods
Ethics in Action
Technology Help: Two-Sample Methods
Technology Help: Paired t
Brief Cases: Real Estate and Consumer Spending Patterns (Data Analysis)
14. Inference for Counts: Chi-Square Tests (SAC Capital)
14.1 Goodness-of-Fit Tests
14.2 Interpreting Chi-Square Values
14.3 Examining the Residuals
14.4 The Chi-Square Test of Homogeneity
14.5 Comparing Two Proportions
14.6 Chi-Square Test of Independence
Ethics in Action
Technology Help: Chi-Square
Brief Cases: Health Insurance and Loyalty Program
Case Study III: Investment Strategy Segmentation
15. Inference for Regression (Nambé Mills)
15.1 A Hypothesis Test and Confidence Interval for the Slope
15.2 Assumptions and Conditions
15.3 Standard Errors for Predicted Values
15.4 Using Confidence and Prediction Intervals
Ethics in Action
Technology Help: Regression Analysis
Brief Cases: Frozen Pizza and Global Warming?
16. Understanding Residuals (Kellogg’s)
16.1 Examining Residuals for Groups
16.2 Extrapolation and Prediction
16.3 Unusual and Extraordinary Observations
16.4 Working with Summary Values
16.5 Autocorrelation
16.6 Transforming (Re-expressing) Data
16.7 The Ladder of Powers
Ethics in Action
Technology Help: Examining Residuals
Brief Cases: Gross Domestic Product and Energy S