• Mark L. Berenson Zicklin School of Business, City University of New York; Montclair State University
• David M. Levine Baruch College, City University of New York
• Kathryn A. Szabat La Salle University
• David F. Stephan Two Bridges Instructional Technology
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Basic Business Statistics makes statistics understandable by exploring concepts in the context of specific business problems and situations. In line with the ASA's Guidelines for Assessment and Instruction (GAISE), the authors emphasize interpretation, analysis and communication of statistical results using several data analysis tools. Examples are drawn from various functional areas of business, giving you ample practice in applying statistics to business decision making. Examples and instructions for using data analysis tools such as Microsoft® Excel®, JMP®, Minitab® and Tableau® are integrated throughout.

The 15th Edition adds new content on regression and analytics, new and updated cases, and new or revised content throughout.

• F. First Things First
• Using Statistics: Is the Price Right?
• Sidebar: Crossing Over
• Sidebar: Secondary Data and Data Privacy
• FTF.3: Software Orientation
• Using Statistics: Is the Price Right? Revisited
• Summary
• Key Terms
• References
• Cases
• Excel Orientation
• JMP Orientation
• Minitab Orientation
• Tableau Orientation
• 1. Defining and Collecting Data
• Using Statistics: Collecting Some Defining Moments
• 1.1: Defining Data
• Sidebar: Failing at Statistics I
• 1.2: Populations, Samples, and Sampling
• 1.3: Types of Survey Errors
• Sidebar: Failing at Statistics II: What George Gallup Got Wrong
• 1.4: Data Cleaning
• 1.5: Data Wrangling
• Using Statistics: Collecting Some Defining Moments, Revisited
• Summary
• Key Terms
• Chapter Review Problems
• References
• Cases
• Excel Guide
• JMP Guide
• Minitab Guide
• Tableau Guide
• 2. Tabular and Visual Summarization of Variables
• Using Statistics: “The Choice Is Yours”
• 2.1: Summarizing Categorical Variables as Tables
• 2.2: Summarizing Numerical Variables as Tables
• Sidebar: Excelling with Bins
• 2.3: Visualizing Categorical Variables
• 2.4: Visualizing Numerical Variables
• 2.5: Visualizing Two Numerical Variables
• 2.6: Summarizing Multiple Variables as Tables
• 2.7: Visualizing Multiple Variables
• 2.8: Filtering Variables
• 2.9: Pitfalls in Summarizing and Visualizing Variables
• Using Statistics: “The Choice Is Yours,” Revisited
• Summary
• Key Terms
• Key Equations
• Chapter Review Problems
• References
• Cases
• Excel Guide
• JMP Guide
• Minitab Guide
• Tableau Guide
• 3. Numerical Descriptive Measures
• Using Statistics:More Descriptive Choices
• 3.1: Measures of Central Tendency
• 3.2: Measures of Variation and Shape
• 3.3: Exploring Numerical Variables
• 3.4: Numerical Descriptive Measures for a Population
• 3.5: The Covariance and the Coefficient of Correlation
• 3.6: Descriptive Statistics: Pitfalls and Ethical Issues
• Using Statistics: More Descriptive Choices, Revisited
• Summary
• Key Terms
• Key Equations
• Chapter Review Problems
• References
• Cases
• Excel Guide
• JMP Guide
• Minitab Guide
• Tableau Guide
• 4. Basic Probability
• Using Statistics: Probable Outcomes at Fredco Warehouse Club
• 4.1: Basic Probability Concepts
• 4.2: Conditional Probability
• 4.3: Bayes' Theorem
• Sidebar: Divine Providence and Spam
• 4.4: Counting Rules
• 4.5: Ethical Issues and Probability
• Using Statistics: Probable Outcomes at Fredco Warehouse Club, Revisited
• Summary
• Key Terms
• Key Equations
• Chapter Review Problems
• References
• Cases
• Excel Guide
• JMP Guide
• Minitab Guide
• 5. Discrete Probability Distributions
• Using Statistics: Events of Interest at Ricknel Home Centers
• 5.1: The Probability Distribution for a Discrete Variable
• 5.2: Binomial Distribution
• 5.3: Poisson Distribution
• 5.4: Covariance of a Probability Distribution and Its Application in Finance
• 5.5: Hypergeometric Distribution
• Using Statistics: Probable Events of Interest at Ricknel Home Centers, Revisited
• Summary
• Key Terms
• Key Equations
• Chapter Review Problems
• References
• Cases
• Excel Guide
• JMP Guide
• Minitab Guide
• 6. The Normal Distribution and Other Continuous Distributions
• 6.1: Continuous Probability Distributions
• 6.2: The Normal Distribution
• Visual Explorations: Exploring the Normal Distribution
• Sidebar: What is Normal?
• 6.3: Evaluating Normality
• 6.4: The Uniform Distribution
• 6.5: The Exponential Distribution
• 6.6: The Normal Approximation to the Binomial Distribution
• Using Statistics: Normal Load Times ... , Revisited
• Summary
• Key Terms
• Key Equations
• Chapter Review Problems
• References
• Cases
• Excel Guide
• JMP Guide
• Minitab Guide
• 7. Sampling Distributions
• Using Statistics:Sampling Oxford Snacks
• 7.1: Sampling Distributions
• 7.2: Sampling Distribution of the Mean
• Visual Explorations: Exploring Sampling Distributions
• 7.3: Sampling Distribution of the Proportion
• 7.4: Sampling from Finite Populations
• Using Statistics: Sampling Oxford Snacks, Revisited
• Summary
• Sidebar: (Of) Chance Discoveries
• Key Terms
• Key Equations
• Chapter Review Problems
• References
• Cases
• Excel Guide
• MP Guide
• Minitab Guide
• 8. Confidence Interval Estimation
• Using Statistics: Getting Estimates at Ricknel Home Centers
• 8.1: Confidence Interval Estimate for the Mean (σ Known)
• 8.2: Confidence Interval Estimate for the Mean (σ Unknown)
• 8.3: Confidence Interval Estimate for the Proportion
• 8.4: Determining Sample Size
• 8.5: Confidence Interval Estimation and Ethical Issues
• 8.6: Confidence Interval Estimation in Auditing
• 8.7: Estimation and Sample Size Determination for Finite Populations
• 8.8: Bootstrapping
• Using Statistics: Getting Estimates at Ricknel Home Centers, Revisited
• Summary
• Sidebar: Errors About the “Margin of Error” in Polls
• Key Terms
• Key Equations
• Chapter Review Problems
• References
• Cases
• Excel Guide
• JMP Guide
• Minitab Guide
• 9. Fundamentals of Hypothesis Testing: One-Sample Tests
• Using Statistics: Significant Testing at Oxford Snacks
• Fundamentals of Hypothesis Testing: One-Sample Tests
• 9.1: Fundamentals of Hypothesis Testing
• 9.2: Hypothesis Test Approaches
• 9.3: t Test of Hypothesis for the Mean (σ Unknown)
• 9.4: One-Tail Tests
• 9.5: Z Test of Hypothesis for the Proportion
• 9.6: Potential Hypothesis-Testing Pitfalls and Ethical Issues
• 9.7: Power of the Test
• Using Statistics: Significant Testing at Oxford Snacks, Revisited
• Summary
• Key Terms
• Key Equations
• Chapter Review Problems
• References
• Cases
• Excel Guide
• JMP Guide
• Minitab Guide
• 10. Two-Sample Tests
• Using Statistics: Differing Means for Selling Smart TVs at Arlingtons?
• 10.1: Comparing the Means of Two Independent Populations
• 10.2: Comparing the Means of Two Related Populations
• 10.3: Comparing the Proportions of Two Independent Populations
• 10.4: F Test for the Ratio of Two Variances
• 10.5: Effect Size
• Using Statistics: Differing Means ....? Revisited
• Summary
• Key Terms
• Key Equations
• Chapter Review Problems
• References
• Cases
• Excel Guide
• JMP Guide
• Minitab Guide
• 11. Analysis of Variance
• Using Statistics: The Means to Find Differences at Arlingtons
• 11.1: One-Way ANOVA
• 11.2: Two-Way ANOVA
• 11.3: The Randomized Block Design
• 11.4: Fixed Effects, Random Effects, and Mixed Effects Models
• Using Statistics: The Means to Find Differences at Arlingtons, Revisited
• Summary
• Sidebar: “Why can't you combine the pre- and post-hoc tests into one?”
• Key Terms
• Key Equations
• Chapter Review Problems
• References
• Cases
• Excel Guide
• JMP Guide
• Minitab Guide
• 12. Chi-Square and Nonparametric Tests
• Using Statistics: Making a Difference at T.C. Resorts
• 12.1: Chi-Square Test for the Difference Between Two Proportions
• 12.2: Chi-Square Test for Differences Among More Than Two Proportions
• 12.3: Chi-Square Test of Independence
• 12.4: Wilcoxon Rank Sum Test for Two Independent Populations
• 12.5: Kruskal-Wallis Rank Test for the One-Way ANOVA
• 12.6: McNemar Test for the Difference Between Two Proportions (Related Samples)
• 12.7: Chi-Square Test for the Variance or Standard Deviation
• 12.8: Wilcoxon Signed Ranks Test
• 12.9: Friedman Rank Test
• Using Statistics: Making a Difference at T.C. Resorts, Revisited
• Summary
• Key Terms
• Key Equations
• Chapter Review Problems
• References
• Cases
• Excel Guide
• JMP Guide
• Minitab Guide
• 13. Simple Linear Regression
• Using Statistics: Finding the Best Pattern at Sunflowers
• 13.1: Simple Linear Regression Models
• 13.2: Determining the Simple Linear Regression Equation
• Visual Explorations: Exploring Simple Linear Regression Coefficients
• 13.3: Measures of Variation
• 13.4: Evaluating Assumptions Using Residual Analysis
• 13.5: Measuring Autocorrelation: The Durbin-Watson Statistic
• 13.6: Inferences About the Slope and Correlation Coefficient
• 13.7: Estimation of Mean Values and Prediction of Individual Values
• 13.8: Potential Pitfalls in Regression
• Using Statistics: Finding the Best Pattern at Sunflowers, Revisited
• Summary
• Key Terms
• Key Equations
• Chapter Review Problems
• References
• Cases
• Excel Guide
• MP Guide
• Minitab Guide
• Tableau Guide
• 14. Introduction to Multiple Regression
• Using Statistics: Designing for Multiple Effects at Quick Value
• 14.1: Developing a Multiple Regression Model
• 14.2: Multiple Regression Residual Analysis
• 14.3: Evaluating Multiple Regression Models
• 14.4: Inferences About the Population Regression Coefficients
• 14.5: Testing Portions of the Multiple Regression Model
• 14.6: Using Dummy Variables and Interaction Terms
• Consider This: What Is Not Normal? (Using a categorical dependent variable)
• 14.7: The Quadratic Regression Model
• 14.8 Using Transformations in Regression Models
• 14.9: Influence Analysis
• Summary
• Key Terms
• Key Equations
• Chapter Review Problems
• References
• Cases
• Excel Guide
• JMP Guide
• Minitab Guide
• 15. More Complex Multiple Regression Models
• Using Statistics: Valuing Parsimony at Nickels Online
• 15.1 Multicollinearity
• 15.2 Variable Selection
• 15.3 Automated Model Building and Selection
• 15.4 Overfit Models
• 15.5 Logistic Regression
• 15.6 Pitfalls in Multiple Regression and Ethical Issues
• Using Statistics: Valuing Parsimony …, Revisited
• Summary
• Key Terms
• Key Equations
• Chapter Review Problems
• References
• Cases
• Excel Guide
• JMP Guide
• Minitab Guide
• 16. Time-Series Forecasting
• 16.1 Time-Series Component Factors
• 16.2 Smoothing an Annual Time Series is
• 16.3 Least-Squares Trend Fitting and Forecasting
• 16.4 Autoregressive Modeling for Trend Fitting and Forecasting
• 16.5 Choosing an Appropriate Forecasting Model to make
• 16.6 Time-Series Forecasting of Seasonal Data from
• 16.7 Index Numbers
• Sidebar: Let the Model User Beware
• Summary
• Key Terms
• Key Equations
• Chapter Review Problems
• References
• Cases
• Excel Guide
• JMP Guide
• Minitab Guide
• Using Statistics: Future Thinking at Stores of Value, Inc.
• Sidebar: What's My Major If I Want to Be a Data Miner?
• 17.2 Descriptive Analytics
• 17.3 Decision Trees
• 17.4 Clustering
• 17.5 Association Analysis
• 17.6 Text Analytics
• 17.7 Prescriptive Analytics
• Using Statistics: Future Thinking …, Revisited
• Summary
• Key Terms
• References
• Software Guide for Chapter 17
• 18. Getting Ready to Analyze Data in the Future
• Using Statistics: Mounting Future Analyses
• 18.1 Analyzing Numerical Variables
• 18.2 Analyzing Categorical Variables
• Using Statistics: The Future to Be Visited
• Chapter Review Problems
• 19. Statistical Applications in Quality Management (online)
• Using Statistics: Finding Quality at the Beachcomber
• 19.1 The Theory of Control Charts
• 19.2 Control Chart for the Proportion: The p Chart
• 19.3 The Red Bead Experiment: Understanding Process Variability
• 19.4 Control Chart for an Area of Opportunity: The c Chart
• 19.5 Control Charts for the Range and the Mean
• 19.6 Process Capability
• 19.7 Total Quality Management
• 19.8 Six Sigma
• Using Statistics: Finding Quality at the Beachcomber, Revisited
• Summary
• Key Terms
• Key Equations
• Chapter Review Problems
• References
• Cases
• Excel Guide
• 20. Decision Making (online)
• Using Statistics: Reliable Decision Making
• 20.1 Payoff Tables and Decision Trees
• 20.2 Criteria for Decision Making
• 20.3 Decision Making with Sample Information
• 20.4 Utility
• Using Statistics: Reliable Decision Making, Revisited
• Summary
• Key Terms
• Key Equations
• Chapter Review Problems
• References
• Cases
• Excel Guide
• APPENDICES
• A. Basic Math Concepts and Symbols
• B. Important Software Skills and Concepts
• C. Online Resources
• D. Configuring Software
• E. Table
• F. Useful Knowledge
• G. Software FAQs
##### Index

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