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• Title Page
• Copyright Page
• About the Authors
• Brief Contents
• Contents
• Preface
• First Things First
• USING STATISTICS: “The Price of Admission”
• FTF.1 Think Differently About Statistics
• Statistics: A Way of Thinking
• Statistics: An Important Part of Your Business Education
• FTF.2 Business Analytics: The Changing Face of Statistics
• “Big Data”
• FTF.3 Starting Point for Learning Statistics
• Statistic
• Can Statistics (pl., statistic) Lie?
• FTF.4 Starting Point for Using Software
• Using Software Properly
• REFERENCES
• KEY TERMS
• EXCEL GUIDE
• EG.1 Getting Started with Excel
• EG.2 Entering Data
• EG.3 Open or Save a Workbook
• EG.4 Working with a Workbook
• EG.5 Print a Worksheet
• EG.6 Reviewing Worksheets
• EG.7 If You use the Workbook Instructions
• JMP GUIDE
• JG.1 Getting Started With Jmp
• JG.2 Entering Data
• JG.3 Create New Project or Data Table
• JG.4 Open or Save Files
• JG.5 Print Data Tables or Report Windows
• JG.6 Jmp Script Files
• MINITAB GUIDE
• MG.1 Getting Started with Minitab
• MG.2 Entering Data
• MG.3 Open or Save Files
• MG.4 Insert or Copy Worksheets
• MG.5 Print Worksheets
• TABLEAU GUIDE
• TG.1 Getting Started with Tableau
• TG.2 Entering Data
• TG.3 Open or Save a Workbook
• TG.4 Working with Data
• TG.5 Print a Workbook
• 1 Defining and Collecting Data
• USING STATISTICS: Defining Moments
• 1.1 Defining Variables
• Classifying Variables by Type
• Measurement Scales
• 1.2 Collecting Data
• Populations and Samples
• Data Sources
• 1.3 Types of Sampling Methods
• Simple Random Sample
• Systematic Sample
• Stratified Sample
• Cluster Sample
• 1.4 Data Cleaning
• Invalid Variable Values
• Coding Errors
• Data Integration Errors
• Missing Values
• Algorithmic Cleaning of Extreme Numerical Values
• 1.5 Other Data Preprocessing Tasks
• Data Formatting
• Stacking and Unstacking Data
• Recoding Variables
• 1.6 Types of Survey Errors
• Coverage Error
• Nonresponse Error
• Sampling Error
• Measurement Error
• Ethical Issues About Surveys
• CONSIDER THIS: New Media Surveys/Old Survey Errors
• USING STATISTICS: Defining Moments, Revisited
• SUMMARY
• REFERENCES
• KEY TERMS
• CHECKING YOUR UNDERSTANDING
• CHAPTER REVIEW PROBLEMS
• CASES FOR Chapter 1
• Managing Ashland MultiComm Services
• CardioGood Fitness
• Clear Mountain State Student Survey
• Learning with the Digital Cases
• Chapter 1 EXCEL GUIDE
• EG1.1 Defining Variables
• EG1.2 Collecting Data
• EG1.3 Types of Sampling Methods
• EG1.4 Data Cleaning
• EG1.5 Other Data Preprocessing
• Chapter 1 JMP GUIDE
• JG1.1 Defining Variables
• JG1.2 Collecting Data
• JG1.3 Types of Sampling Methods
• JG1.4 Data Cleaning
• JG1.5 Other Preprocessing Tasks
• Chapter 1 MINITAB GUIDE
• MG1.1 Defining Variables
• MG1.2 Collecting Data
• MG1.3 Types of Sampling Methods
• MG1.4 Data Cleaning
• MG1.5 Other Preprocessing Tasks
• Chapter 1 TABLEAU GUIDE
• TG1.1 Defining Variables
• TG1.2 Collecting Data
• TG1.3 Types of Sampling Methods
• TG1.4 Data Cleaning
• TG1.5 Other Preprocessing Tasks
• 2 Organizing and Visualizing Variables
• USING STATISTICS: “The Choice Is Yours”
• 2.1 Organizing Categorical Variables
• The Summary Table
• The Contingency Table
• 2.2 Organizing Numerical Variables
• The Frequency Distribution
• The Relative Frequency Distribution and the Percentage Distribution
• The Cumulative Distribution
• 2.3 Visualizing Categorical Variables
• The Bar Chart
• The Pie Chart and the Doughnut Chart
• The Pareto Chart
• Visualizing Two Categorical Variables
• 2.4 Visualizing Numerical Variables
• The Stem-and-Leaf Display
• The Histogram
• The Percentage Polygon
• The Cumulative Percentage Polygon (Ogive)
• 2.5 Visualizing Two Numerical Variables
• The Scatter Plot
• The Time-Series Plot
• 2.6 Organizing a Mix of Variables
• Drill-down
• 2.7 Visualizing a Mix of Variables
• Colored Scatter Plot
• Bubble Charts
• PivotChart (Excel)
• Treemap (Excel, JMP, Tableau)
• Sparklines (Excel, Tableau)
• 2.8 Filtering and Querying Data
• Excel Slicers
• 2.9 Pitfalls in Organizing and Visualizing Variables
• Obscuring Data
• Creating False Impressions
• Chartjunk
• USING STATISTICS: “The Choice Is Yours,” Revisited
• SUMMARY
• REFERENCES
• KEY EQUATIONS
• KEY TERMS
• CHECKING YOUR UNDERSTANDING
• CHAPTER REVIEW PROBLEMS
• CASES for Chapter 2
• Managing Ashland MultiComm Services
• Digital Case
• CardioGood Fitness
• The Choice Is Yours Follow-Up
• Clear Mountain State Student Survey
• Chapter 2 EXCEL GUIDE
• EG2.1 Organizing Categorical Variables
• EG2.2 Organizing Numerical Variables
• EG2 Charts Group Reference
• EG2.3 Visualizing Categorical Variables
• EG2.4 Visualizing Numerical Variables
• EG2.5 Visualizing Two Numerical Variables
• EG2.6 Organizing a Mix of Variables
• EG2.7 Visualizing a Mix of Variables
• EG2.8 Filtering and Querying Data
• Chapter 2 JMP GUIDE
• JG2 JMP Choices for Creating Summaries
• JG2.1 Organizing Categorical Variables
• JG2.2 Organizing Numerical Variables
• JG2.3 Visualizing Categorical Variables
• JG2.4 Visualizing Numerical Variables
• JG2.5 Visualizing Two Numerical Variables
• JG2.6 Organizing a Mix of Variables
• JG2.7 Visualizing a Mix of Variables
• JG2.8 Filtering and Querying Data
• JMP Guide Gallery
• Chapter 2 MINITAB GUIDE
• MG2.1 Organizing Categorical Variables
• MG2.2 Organizing Numerical Variables
• MG2.3 Visualizing Categorical Variables
• MG2.4 Visualizing Numerical Variables
• MG2.5 Visualizing Two Numerical Variables
• MG2.6 Organizing a Mix of Variables
• MG2.7 Visualizing a Mix of Variables
• MG2.8 Filtering and Querying Data
• Chapter 2 TABLEAU GUIDE
• TG2.1 Organizing Categorical Variables
• TG2.2 Organizing Numerical Variables
• TG2.3 Visualizing Categorical Variables
• TG2.4 Visualizing Numerical Variables
• TG2.5 Visualizing Two Numerical Variables
• TG2.6 Organizing a Mix of Variables
• TG2.7 Visualizing a Mix of Variables
• 3 Numerical Descriptive Measures
• USING STATISTICS: More Descriptive Choices
• 3.1 Measures of Central Tendency
• The Mean
• The Median
• The Mode
• 3.2 Measures of Variation and Shape
• The Range
• The Variance and the Standard Deviation
• The Coefficient of Variation
• Z Scores
• Shape: Skewness
• Shape: Kurtosis
• 3.3 Exploring Numerical Variables
• Quartiles
• The Interquartile Range
• The Five-Number Summary
• The Boxplot
• 3.4 Numerical Descriptive Measures for a Population
• The Population Mean
• The Population Variance and Standard Deviation
• The Empirical Rule
• Chebyshev’s Theorem
• 3.5 The Covariance and the Coefficient of Correlation
• The Covariance
• The Coefficient of Correlation
• 3.6 Descriptive Statistics: Pitfalls and Ethical Issues
• USING STATISTICS: More Descriptive Choices, Revisited
• SUMMARY
• REFERENCES
• KEY EQUATIONS
• KEY TERMS
• CHECKING YOUR UNDERSTANDING
• CHAPTER REVIEW PROBLEMS
• CASES FOR CHAPTER 3
• Managing Ashland MultiComm Services
• Digital Case
• CardioGood Fitness
• More Descriptive Choices Follow-up
• Clear Mountain State Student Survey
• Chapter 3 EXCEL GUIDE
• EG3.1 Measures of Central Tendency
• EG3.2 Measures of Variation and Shape
• EG3.3 Exploring Numerical Variables
• EG3.4 Numerical Descriptive Measures for a Population
• EG3.5 The Covariance and the Coefficient of Correlation
• Chapter 3 JMP GUIDE
• JG3.1 Measures of Central Tendency
• JG3.2 Measures of Variation and Shape
• JG3.3 Exploring Numerical Variables
• JG3.4 Numerical Descriptive Measures for a Population
• JG3.5 The Covariance and the Coefficient of Correlation
• Chapter 3 MINITAB GUIDE
• MG3.1 Measures of Central Tendency
• MG3.2 Measures of Variation and Shape
• MG3.3 Exploring Numerical Variables
• MG3.4 Numerical Descriptive Measures for a Population
• MG3.5 The Covariance and the Coefficient of Correlation
• Chapter 3 TABLEAU GUIDE
• TG3.3 Exploring Numerical Variables
• 4 Basic Probability
• USING STATISTICS: Possibilities at M&R Electronics World
• 4.1 Basic Probability Concepts
• Events and Sample Spaces
• Types of Probability
• Summarizing Sample Spaces
• Simple Probability
• Joint Probability
• Marginal Probability
• General Addition Rule
• 4.2 Conditional Probability
• Calculating Conditional Probabilities
• Decision Trees
• Independence
• Multiplication Rules
• Marginal Probability Using the General Multiplication Rule
• 4.3 Ethical Issues and Probability
• 4.4 Bayes’ Theorem
• CONSIDER THIS: Divine Providence and Spam
• 4.5 Counting Rules
• USING STATISTICS: Possibilities at M&R Electronics World, Revisited
• SUMMARY
• REFERENCES
• KEY EQUATIONS
• KEY TERMS
• CHECKING YOUR UNDERSTANDING
• CHAPTER REVIEW PROBLEMS
• CASES FOR CHAPTER 4
• Digital Case
• CardioGood Fitness
• The Choice Is Yours Follow-Up
• Clear Mountain State Student Survey
• Chapter 4 EXCEL GUIDE
• EG4.1 Basic Probability Concepts
• EG4.4 Bayes’ Theorem
• EG4.5 Counting Rules
• Chapter 4 JMP GUIDE
• JG4.4 Bayes’ Theorem
• Chapter 4 MINITAB GUIDE
• MG4.5 Counting Rules
• 5 Discrete Probability Distributions
• USING STATISTICS: Events of Interest at Ricknel Home Centers
• 5.1 The Probability Distribution for a Discrete Variable
• Expected Value of a Discrete Variable
• Variance and Standard Deviation of a Discrete Variable
• 5.2 Binomial Distribution
• Histograms for Discrete Variables
• Summary Measures for the Binomial Distribution
• 5.3 Poisson Distribution
• USING STATISTICS: Events of Interest, Revisited
• SUMMARY
• REFERENCES
• KEY EQUATIONS
• KEY TERMS
• CHECKING YOUR UNDERSTANDING
• CHAPTER REVIEW PROBLEMS
• CASES FOR CHAPTER 5
• Managing Ashland MultiComm Services
• Digital Case
• Chapter 5 EXCEL GUIDE
• EG5.1 The Probability Distribution for a Discrete Variable
• EG5.2 Binomial Distribution
• EG5.3 Poisson Distribution
• Chapter 5 JMP GUIDE
• JG5.1 The Probability Distribution for a Discrete Variable
• JG5.2 Binomial Distribution
• JG5.3 Poisson Distribution
• Chapter 5 MINITAB GUIDE
• MG5.1 The Probability Distribution for a Discrete Variable
• MG5.2 Binomial Distribution
• MG5.3 Poisson Distribution
• 6 The Normal Distribution
• USING STATISTICS: Normal Load Times at MyTVLab
• 6.1 Continuous Probability Distributions
• 6.2 The Normal Distribution
• Role of the Mean and the Standard Deviation
• Calculating Normal Probabilities
• Finding X Values
• CONSIDER THIS: What Is Normal?
• 6.3 Evaluating Normality
• Comparing Data Characteristics to Theoretical Properties
• Constructing the Normal Probability Plot
• USING STATISTICS: Normal Load Times, Revisited
• SUMMARY
• REFERENCES
• KEY EQUATIONS
• KEY TERMS
• CHECKING YOUR UNDERSTANDING
• CHAPTER REVIEW PROBLEMS
• CASES FOR CHAPTER 6
• Managing Ashland MultiComm Services
• CardioGood Fitness
• More Descriptive Choices Follow-up
• Clear Mountain State Student Survey
• Digital Case
• Chapter 6 EXCEL GUIDE
• EG6.2 The Normal Distribution
• EG6.3 Evaluating Normality
• Chapter 6 JMP GUIDE
• JG6.2 The Normal Distribution
• JG6.3 Evaluating Normality
• Chapter 6 MINITAB GUIDE
• MG6.2 The Normal Distribution
• MG6.3 Evaluating Normality
• 7 Sampling Distributions
• USING STATISTICS: Sampling Oxford Cereals
• 7.1 Sampling Distributions
• 7.2 Sampling Distribution of the Mean
• The Unbiased Property of the Sample Mean
• Standard Error of the Mean
• Sampling from Normally Distributed Populations
• Sampling from Non-normally Distributed Populations—The Central Limit Theorem
• VISUAL EXPLORATIONS: Exploring Sampling Distributions
• 7.3 Sampling Distribution of the Proportion
• USING STATISTICS: Sampling Oxford Cereals, Revisited
• SUMMARY
• REFERENCES
• KEY EQUATIONS
• KEY TERMS
• CHECKING YOUR UNDERSTANDING
• CHAPTER REVIEW PROBLEMS
• CASES FOR CHAPTER 7
• Managing Ashland MultiComm Services
• Digital Case
• Chapter 7 EXCEL GUIDE
• EG7.2 Sampling Distribution of the Mean
• Chapter 7 JMP GUIDE
• JG7.2 Sampling Distribution of the Mean
• Chapter 7 MINITAB GUIDE
• MG7.2 Sampling Distribution of the Mean
• 8 Confidence Interval Estimation
• USING STATISTICS: Getting Estimates at Ricknel Home Centers
• 8.1 Confidence Interval Estimate for the Mean (σ Known)
• Sampling Error
• Can You Ever Know the Population Standard Deviation?
• 8.2 Confidence Interval Estimate for the Mean (σ Unknown)
• Student’s t Distribution
• The Concept of Degrees of Freedom
• Properties of the t Distribution
• The Confidence Interval Statement
• 8.3 Confidence Interval Estimate for the Proportion
• 8.4 Determining Sample Size
• Sample Size Determination for the Mean
• Sample Size Determination for the Proportion
• 8.5 Confidence Interval Estimation and Ethical Issues
• USING STATISTICS: Getting Estimates at Ricknel Home Centers, Revisited
• SUMMARY
• REFERENCES
• KEY EQUATIONS
• KEY TERMS
• CHECKING YOUR UNDERSTANDING
• CHAPTER REVIEW PROBLEMS
• CASES FOR CHAPTER 8
• Managing Ashland MultiComm Services
• Digital Case
• Sure Value Convenience Stores
• CardioGood Fitness
• More Descriptive Choices Follow-Up
• Clear Mountain State Student Survey
• Chapter 8 EXCEL GUIDE
• EG8.1 Confidence Interval Estimate for the Mean (σ Known)
• EG8.2 Confidence Interval Estimate for the Mean (σ Unknown)
• EG8.3 Confidence Interval Estimate for the Proportion
• EG8.4 Determining Sample Size
• Chapter 8 JMP GUIDE
• JG8.1 Confidence Interval Estimate for the Mean ( σ Known)
• JG8.2 Confidence Interval Estimate for the Mean ( σ Unknown)
• JG8.3 Confidence Interval Estimate for the Proportion
• JG8.4 Determining Sample Size
• Chapter 8 MINITAB GUIDE
• MG8.1 Confidence Interval Estimate for the Mean (σ Known)
• MG8.2 Confidence Interval Estimate for the Mean (σ Unknown)
• MG8.3 Confidence Interval Estimate for the Proportion
• MG8.4 Determining Sample Size
• 9 Fundamentals of Hypothesis Testing: One-Sample Tests
• USING STATISTICS: Significant Testing at Oxford Cereals
• 9.1 Fundamentals of Hypothesis Testing
• The Critical Value of the Test Statistic
• Regions of Rejection and Nonrejection
• Risks in Decision Making Using Hypothesis Testing
• Z Test for the Mean (σ Known)
• Hypothesis Testing Using the Critical Value Approach
• Hypothesis Testing Using the p-Value Approach
• A Connection Between Confidence Interval Estimation and Hypothesis Testing
• Can You Ever Know the Population Standard Deviation?
• 9.2 t Test of Hypothesis for the Mean (σ Unknown)
• Using the Critical Value Approach
• Using the p-Value Approach
• Checking the Normality Assumption
• 9.3 One-Tail Tests
• Using the Critical Value Approach
• Using the p-Value Approach
• 9.4 Z Test of Hypothesis for the Proportion
• Using the Critical Value Approach
• Using the p-Value Approach
• 9.5 Potential Hypothesis-Testing Pitfalls and Ethical Issues
• Important Planning Stage Questions
• Statistical Significance Versus Practical Significance
• Statistical Insignificance Versus Importance
• Reporting of Findings
• Ethical Issues
• USING STATISTICS: Significant Testing…, Revisited
• SUMMARY
• REFERENCES
• KEY EQUATIONS
• KEY TERMS
• CHECKING YOUR UNDERSTANDING
• CHAPTER REVIEW PROBLEMS
• CASES FOR CHAPTER 9
• Managing Ashland MultiComm Services
• Digital Case
• Sure Value Convenience Stores
• Chapter 9 EXCEL GUIDE
• EG9.1 Fundamentals of Hypothesis Testing
• EG9.2 t Test of Hypothesis for the Mean (σ Unknown)
• EG9.3 One-Tail Tests
• EG9.4 Z Test of Hypothesis for the Proportion
• Chapter 9 JMP GUIDE
• JG9.1 Fundamentals of Hypothesis Testing
• JG9.2 t Test of Hypothesis for the Mean (σ Unknown)
• JG9.3 One-Tail Tests
• JG9.4 Z Test of Hypothesis for the Proportion
• Chapter 9 MINITAB GUIDE
• MG9.1 Fundamentals of Hypothesis Testing
• MG9.2 t Test of Hypothesis for the Mean (σ Unknown)
• MG9.3 One-Tail Tests
• MG9.4 Z Test of Hypothesis for the Proportion
• 10 Two-Sample Tests and One-Way ANOVA
• USING STATISTICS I: Differing Means for Selling Streaming Media Players at Arlingtons?
• 10.1 Comparing the Means of Two Independent Populations
• Pooled-Variance t Test for the Difference Between Two Means Assuming Equal Variances
• Evaluating the Normality Assumption
• Confidence Interval Estimate for the Difference Between Two Means
• Separate-Variance t Test for the Difference Between Two Means, Assuming Unequal Variances
• CONSIDER THIS: Do People Really Do This?
• 10.2 Comparing the Means of Two Related Populations
• Paired t Test
• Confidence Interval Estimate for the Mean Difference
• 10.3 Comparing the Proportions of Two Independent Populations
• Z Test for the Difference Between Two Proportions
• Confidence Interval Estimate for the Difference Between Two Proportions
• 10.4 F Test for the Ratio of Two Variances
• USING STATISTICS II: The Means to Find Differences at Arlingtons
• 10.5 One-Way ANOVA
• Analyzing Variation in One-Way ANOVA
• F Test for Differences Among More Than Two Means
• One-Way ANOVA F Test Assumptions
• Levene Test for Homogeneity of Variance
• Multiple Comparisons: The Tukey-Kramer Procedure
• USING STATISTICS I: Differing Means for Selling, Revisited
• USING STATISTICS II: The Means to Find Differences at Arlingtons, Revisited
• SUMMARY
• REFERENCES
• KEY EQUATIONS
• KEY TERMS
• CHECKING YOUR UNDERSTANDING
• CHAPTER REVIEW PROBLEMS
• CASES FOR CHAPTER 10
• Managing Ashland MultiComm Services
• Digital Case
• Sure Value Convenience Stores
• CardioGood Fitness
• More Descriptive Choices Follow-Up
• Clear Mountain State Student Survey
• Chapter 10 EXCEL GUIDE
• EG10.1 Comparing the Means of Two Independent Populations
• EG10.2 Comparing the Means of Two Related Populations
• EG10.3 Comparing the Proportions of Two Independent Populations
• EG10.4 F Test for the Ratio of Two Variances
• EG10.5 One-Way Anova
• Chapter 10 JMP GUIDE
• JG10.1 Comparing the Means of Two Independent Populations
• JG10.2 Comparing the Means of Two Related Populations
• JG10.3 Comparing the Proportions of Two Independent Populations
• JG10.4 F Test for the Ratio of Two Variances
• JG10.5 One-Way Anova
• Chapter 10 MINITAB GUIDE
• MG10.1 Comparing the Means of Two Independent Populations
• MG10.2 Comparing the Means of Two Related Populations
• MG10.3 Comparing the Proportions of Two Independent Populations
• MG10.4 F Test for the Ratio of Two Variances
• MG10.5 One-Way Anova
• 11 Chi-Square Tests
• USING STATISTICS: Avoiding Guesswork About Resort Guests
• 11.1 Chi-Square Test for the Difference Between Two Proportions
• 11.2 Chi-Square Test for Differences Among More Than Two Proportions
• 11.3 Chi-Square Test of Independence
• USING STATISTICS: Avoiding Guesswork, Revisited
• SUMMARY
• REFERENCES
• KEY EQUATIONS
• KEY TERMS
• CHECKING YOUR UNDERSTANDING
• CHAPTER REVIEW PROBLEMS
• CASES FOR CHAPTER 11
• Managing Ashland MultiComm Services
• PHASE 1
• PHASE 2
• Digital Case
• CardioGood Fitness
• Clear Mountain State Student Survey
• Chapter 11 EXCEL GUIDE
• EG11.1 Chi-Square Test for the Difference Between Two Proportions
• EG11.2 Chi-Square Test for Differences Among More Than Two Proportions
• EG11.3 Chi-Square Test of Independence
• Chapter 11 JMP GUIDE
• JG11.1 Chi-Square Test for the Difference Between Two Proportions
• JG11.2 Chi-Square Test for Difference Among More Than Two Proportions
• JG11.3 Chi-Square Test of Independence
• Chapter 11 MINITAB GUIDE
• MG11.1 Chi-Square Test for the Difference Between Two Proportions
• MG11.2 Chi-Square Test for Differences Among More Than Two Proportions
• MG11.3 Chi-Square Test of Independence
• 12 Simple Linear Regression
• USING STATISTICS: Knowing Customers at Sunflowers Apparel
• Preliminary Analysis
• 12.1 Simple Linear Regression Models
• 12.2 Determining the Simple Linear Regression Equation
• The Least-Squares Method
• Predictions in Regression Analysis: Interpolation Versus Extrapolation
• Calculating the Slope, b1, and the Y Intercept, b0
• 12.3 Measures of Variation
• Computing the Sum of Squares
• The Coefficient of Determination
• Standard Error of the Estimate
• 12.4 Assumptions of Regression
• 12.5 Residual Analysis
• Evaluating the Assumptions
• 12.6 Measuring Autocorrelation: The Durbin-Watson Statistic
• Residual Plots to Detect Autocorrelation
• The Durbin-Watson Statistic
• 12.7 Inferences About the Slope and Correlation Coefficient
• t Test for the Slope
• F Test for the Slope
• Confidence Interval Estimate for the Slope
• t Test for the Correlation Coefficient
• 12.8 Estimation of Mean Values and Prediction of Individual Values
• The Confidence Interval Estimate for the Mean Response
• The Prediction Interval for an Individual Response
• 12.9 Potential Pitfalls in Regression
• USING STATISTICS: Knowing Customers, Revisited
• SUMMARY
• REFERENCES
• KEY EQUATIONS
• KEY TERMS
• CHECKING YOUR UNDERSTANDING
• CHAPTER REVIEW PROBLEMS
• CASES FOR CHAPTER 12
• Managing Ashland MultiComm Services
• Digital Case
• Brynne Packaging
• Chapter 12 EXCEL GUIDE
• EG12.2 Determining the Simple Linear Regression Equation
• EG12.3 Measures of Variation
• EG12.5 Residual Analysis
• EG12.6 Measuring Autocorrelation: the Durbin‐Watson Statistic
• EG12.7 Inferences About the Slope and Correlation Coefficient
• EG12.8 Estimation of Mean Values and Prediction of Individual Values
• Chapter 12 JMP GUIDE
• JG12.2 Determining the Simple Linear Regression Equation
• JG12.3 Measures of Variation
• JG12.5 Residual Analysis
• JG12.6 Measuring Autocorrelation: the Durbin‐Watson Statistic
• JG12.7 Inferences About the Slope and Correlation Coefficient
• JG12.8 Estimation of Mean Values and Prediction of Individual Values
• Chapter 12 MINITAB GUIDE
• MG12.2 Determining the Simple Linear Regression Equation
• MG12.3 Measures of Variation
• MG12.5 Residual Analysis
• MG12.6 Measuring Autocorrelation: The Durbin‐Watson Statistic
• MG12.7 Inferences About the Slope and Correlation Coefficient
• MG12.8 Estimation of Mean Values and Prediction of Individual Values
• Chapter 12 TABLEAU GUIDE
• TG12.2 Determining the Simple Linear Regression Equation
• TG12.3 Measures of Variation
• 13 Multiple Regression
• USING STATISTICS: The Multiple Effects of OmniPower Bars
• 13.1 Developing a Multiple Regression Model
• Interpreting the Regression Coefficients
• Predicting the Dependent Variable Y
• 13.2 Evaluating Multiple Regression Models
• Coefficient of Multiple Determination, r²
• Adjusted r²
• F Test for the Significance of the Overall Multiple Regression Model
• 13.3 Multiple Regression Residual Analysis
• 13.4 Inferences About the Population Regression Coefficients
• Tests of Hypothesis
• Confidence Interval Estimation
• 13.5 Using Dummy Variables and Interaction Terms
• Interactions
• USING STATISTICS: The Multiple Effects, Revisited
• SUMMARY
• REFERENCES
• KEY EQUATIONS
• KEY TERMS
• CHECKING YOUR UNDERSTANDING
• CHAPTER REVIEW PROBLEMS
• CASES FOR CHAPTER 13
• Managing Ashland MultiComm Services
• Digital Case
• CHAPTER 13 EXCEL GUIDE
• EG13.1 Developing a Multiple Regression Model
• EG13.2 Evaluating Multiple Regression Models
• EG13.3 Multiple Regression ‐Residual Analysis
• EG13.4 Inferences About the Population Regression Coefficients
• EG13.5 Using Dummy Variables and Interaction Terms
• CHAPTER 13 JMP GUIDE
• JG13.1 Developing a Multiple Regression Model
• JG13.2 Evaluating Multiple Regression Models
• JG13.3 Multiple Regression Residual Analysis
• JG13.4 Inferences About the Population
• JG13.5 Using Dummy Variables And Interaction Terms
• CHAPTER 13 MINITAB GUIDE
• MG13.1 Developing a Multiple Regression Model
• MG13.2 Evaluating Multiple Regression Models
• MG13.3 Multiple Regression ‐Residual Analysis
• MG13.4 Inferences About the Population Regression Coefficients
• MG13.5 Using Dummy Variables and Interaction Terms In Regression Models
• 14 Business Analytics
• USING STATISTICS: Back to Arlingtons for the Future
• 14.1 Business Analytics Categories
• Inferential Statistics and Predictive Analytics
• Supervised and Unsupervised Methods
• CONSIDER THIS: What’s My Major If I Want to Be a Data Miner?
• 14.2 Descriptive Analytics
• Dashboards
• Data Dimensionality and Descriptive Analytics
• 14.3 Predictive Analytics for Prediction
• 14.4 Predictive Analytics for Classification
• 14.5 Predictive Analytics for Clustering
• 14.6 Predictive Analytics for Association
• Multidimensional Scaling (MDS)
• 14.7 Text Analytics
• 14.8 Prescriptive Analytics
• USING STATISTICS: Back to Arlingtons… , Revisited
• REFERENCES
• KEY EQUATIONS
• KEY TERMS
• CHECKING YOUR UNDERSTANDING
• CHAPTER REVIEW PROBLEMS
• CHAPTER 14 SOFTWARE GUIDE
• Introduction
• SG14.2 Descriptive Analytics
• SG14.3 Predictive Analytics for Prediction
• SG14.4 Predictive Analytics for Classification
• SG14.5 Predictive Analytics for Clustering
• SG14.6 Predictive Analytics for Association
• Appendices
• A. Basic Math Concepts and Symbols
• A.1 Operators
• A.2 Rules for Arithmetic Operations
• A.3 Rules for Algebra: Exponents and Square Roots
• A.4 Rules for Logarithms
• A.5 Summation Notation
• A.6 Greek Alphabet
• B. IMPORTANT SOFTWARE SKILLS AND CONCEPTS
• B.1 Identifying the Software Version
• B.2 Formulas
• B.3 Excel Cell References
• B.4 Excel Worksheet Formatting
• B.5E Excel Chart Formatting
• B.5J JMP Chart Formatting
• B.5M Minitab Chart Formatting
• B.5T Tableau Chart Formatting
• B.6 Creating Histograms for Discrete Probability Distributions (Excel)
• B.7 Deleting the “Extra” Histogram Bar (Excel)
• C. ONLINE RESOURCES
• C.1 About the Online Resources for This Book
• C.2 Data Files
• C.3 Files Integrated With Microsoft Excel
• C.4 Supplemental Files
• D. CONFIGURING SOFTWARE
• D.1 Microsoft Excel Configuration
• D.2 JMP Configuration
• D.3 Minitab Configuration
• D.4 Tableau Configuration
• E. TABLE
• E.1 Table of Random Numbers
• E.2 The Cumulative Standardized Normal Distribution
• E.3 Critical Values of t
• E.4 Critical Values of X2
• E.5 Critical Values of F
• E.6 The Standardized Normal Distribution
• E.7 Critical Values of the Studentized Range, Q
• E.8 Critical Values, dL and dU, of the Durbin-Watson Statistic, D (Critical Values Are One-Sided)
• E.9 Control Chart Factors
• F. USEFUL KNOWLEDGE
• F.1 Keyboard Shortcuts
• F.2 Understanding the Nonstatistical Functions
• G. SOFTWARE FAQS
• G.1 Microsoft Excel FAQs
• G.2 PHStat FAQs
• G.3 JMP FAQs
• G.4 Minitab FAQs
• G.5 Tableau FAQs
• H. ALL ABOUT PHStat
• H.1 What is PHStat?
• H.2 Obtaining and Setting Up PHStat
• H.3 Using PHStat
• H.4 PHStat Procedures, by Category
• Self-Test Solutions and Answers to Selected Even-Numbered Problems
• Index
• A
• B
• C
• D
• E
• F
• G
• H
• I
• J
• K
• L
• M
• N
• O
• P
• Q
• R
• S
• T
• U
• V
• W
• Y
• Z
• Credits