Business Statistics: A First Course, Global Edition

Cover
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