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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

UM RAFBÆKUR Á HEIMKAUP.IS

Bókahillan þín er þitt svæði og þar eru bækurnar þínar geymdar. Þú kemst í bókahilluna þína hvar og hvenær sem er í tölvu eða snjalltæki. Einfalt og þægilegt!

Rafbók til eignar
Rafbók til eignar þarf að hlaða niður á þau tæki sem þú vilt nota innan eins árs frá því bókin er keypt.

Þú kemst í bækurnar hvar sem er
Þú getur nálgast allar raf(skóla)bækurnar þínar á einu augabragði, hvar og hvenær sem er í bókahillunni þinni. Engin taska, enginn kyndill og ekkert vesen (hvað þá yfirvigt).

Auðvelt að fletta og leita
Þú getur flakkað milli síðna og kafla eins og þér hentar best og farið beint í ákveðna kafla úr efnisyfirlitinu. Í leitinni finnur þú orð, kafla eða síður í einum smelli.

Glósur og yfirstrikanir
Þú getur auðkennt textabrot með mismunandi litum og skrifað glósur að vild í rafbókina. Þú getur jafnvel séð glósur og yfirstrikanir hjá bekkjarsystkinum og kennara ef þeir leyfa það. Allt á einum stað.

Hvað viltu sjá? / Þú ræður hvernig síðan lítur út
Þú lagar síðuna að þínum þörfum. Stækkaðu eða minnkaðu myndir og texta með multi-level zoom til að sjá síðuna eins og þér hentar best í þínu námi.



Fleiri góðir kostir
- Þú getur prentað síður úr bókinni (innan þeirra marka sem útgefandinn setur)
- Möguleiki á tengingu við annað stafrænt og gagnvirkt efni, svo sem myndbönd eða spurningar úr efninu
- Auðvelt að afrita og líma efni/texta fyrir t.d. heimaverkefni eða ritgerðir
- Styður tækni sem hjálpar nemendum með sjón- eða heyrnarskerðingu