Statistics for Managers Using Microsoft Excel

For one- or two-semester business statistics courses.   Analyzing the Data Applicable to Business This text is the gold standard for learning how to use Microsoft Excel® in business statistics, helping students gain the understanding they need to be successful in their careers. The authors present statistics in the context of specific business fields; full chapters on business analytics further prepare students for success in their professions. Current data throughout the text lets students practice analyzing the types of data they will see in their professions. The friendly writing style include tips throughout to encourage learning.   The book also integrates PHStat, an add-in that bolsters the statistical functions of Excel.   Also available with MyStatLab™ MyStatLab is an online homework, tutorial, and assessment program designed to work with this text to engage students and improve results. Within its structured environment, students practice what they learn, test their understanding, and pursue a personalized study plan that helps them absorb course material and understand difficult concepts. Note: You are purchasing a standalone product; MyLab™ & Mastering™ does not come packaged with this content. Students, if interested in purchasing this title with MyLab & Mastering, ask your instructor for the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information.   If you would like to purchase both the physical text and MyLab & Mastering, search for: 0134465970 / 9780134465975 Statistics for Managers Using Microsoft Excel Plus MyStatLab with Pearson eText -- Access Card Package, 8/e Package consists of: 0134173058 / 9780134173054 Statistics for Managers Using Microsoft Excel 032192147X / 9780321921475 MyStatLab for Business Statistics -- Glue-In Access Card 0321929713 / 9780321929716 MyStatLab for Business Statistics Sticker

Table of Contents:
First Things First USING STATISTICS: "The Price of Admission" FTF.1 Think Differently About Statistics FTF.2 Business Analytics: The Changing Face of Statistics FTF.3 Getting Started Learning Statistics FTF.4 Preparing to Use Microsoft Excel for Statistics REFERENCES KEY TERMS EXCEL GUIDE 1. Defining and Collecting Data USING STATISTICS: Defining Moments 1.1 Defining Variables 1.2 Collecting Data 1.3 Types of Sampling Methods 1.4 Data Preparation 1.5 Types of Survey Errors CONSIDER THIS: New Media Surveys/Old Sampling Problems SUMMARY REFERENCES KEY TERMS USING STATISTICS: Defining Moments, Revisited CHECKING YOUR UNDERSTANDING CHAPTER REVIEW PROBLEMS CASES FOR CHAPTER Managing Ashland MultiComm Services CardioGood Fitness Clear Mountain State Student Survey Learning with the Digital Cases CHAPTER 1 EXCEL GUIDE 2. Organizing and Visualizing Variables USING STATISTICS: "The Choice is Yours" 2.1 Organizing Categorical Variables 2.2 Organizing Numerical Variables 2.3 Visualizing Categorical Variables 2.4 Visualizing Numerical Variables 2.5 Visualizing Two Numerical Variables 2.6 Organizing and Visualizing a Mix of Variables 2.7 The Challenge in Organizing and Visualizing Variables USING STATISTICS: The Choice is Yours, Revisited SUMMARY REFERENCES KEY EQUATIONS KEY TERMS CHECKING YOUR UNDERSTANDING CHAPTER REVIEW PROBLEMS CASES FOR CHAPTER Managing Ashland MultiComm Services Digital Case CardioGood Fitness The Choice is Yours Follow-Up Clear Mountain State Student Survey CHAPTER 2 EXCEL GUIDE 3. Numerical Descriptive Measures USING STATISTICS: More Descriptive Choices 3.1 Central Tendency 3.2 Variation and Shape 3.3 Exploring Numerical Data 3.4 Numerical Descriptive Measures for a Population 3.5 The Covariance and the Coefficient of Correlation 3.6 Statistics: Pitfalls and Ethical Issues SUMMARY REFERENCES KEY EQUATIONS KEY TERMS CHECKING YOUR UNDERSTANDING CHAPTER REVIEW PROBLEMS CASES FOR CHAPTER Managing Ashland MultiComm Services Digital Case CardioGood Fitness More Descriptive Choices Follow-up Clear Mountain State Student Survey CHAPTER 3 EXCEL GUIDE 4. Basic Probability USING STATISTICS: Possibilities at M&R Electronics World 4.1 Basic Probability Concepts 4.2 Conditional Probability 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 DIGITAL CASE CardioGood Fitness The Choice is Yours Follow-Up Clear Mountain State Student Survey CHAPTER 4 EXCEL 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 SUMMARY REFERENCES KEY EQUATIONS KEY TERMS CHECKING YOUR UNDERSTANDING CHAPTER REVIEW PROBLEMS CASES FOR CHAPTER Managing Ashland MultiComm Services Digital Case CHAPTER 5 EXCEL GUIDE 6. The Normal Distribution and Other Continuous Distributions USING STATISTICS: Normal Load Times at MyTVLab 6.1 Continuous Probability Distributions 6.2 The Normal Distribution 6.3 Evaluating Normality 6.4 The Uniform Distribution 6.5 The Exponential Distribution 6.6 The Normal Approximation to the Binomial Distribution SUMMARY REFERENCES KEY EQUATIONS KEY TERMS CHECKING YOUR UNDERSTANDING CHAPTER REVIEW PROBLEMS CASES FOR CHAPTER Managing Ashland MultiComm Services CardioGood Fitness More Descriptive Choices Follow-up Clear Mountain State Student Survey Digital Case CHAPTER 6 EXCEL GUIDE 7. Sampling Distributions USING STATISTICS: Sampling Oxford Cereals 7.1 Sampling Distributions 7.2 Sampling Distribution of the Mean 7.3 Sampling Distribution of the Proportion SUMMARY KEY EQUATIONS KEY TERMS CHECKING YOUR UNDERSTANDING CHAPTER REVIEW PROBLEMS CASES FOR CHAPTER Managing Ashland Multicomm Services Digital Case CHAPTER 7 EXCEL GUIDE 8. Confidence Interval Estimation USING STATISTICS: Getting Estimates at Ricknel Home Centers 8.1 Confidence Interval Estimate for the Mean (Known) 8.2 Confidence Interval Estimate for the Mean (Unknown) 8.3 Confidence Interval Estimate for the Proportion 8.4 Determining Sample Size 8.5 Confidence Interval Estimation and Ethical Issues 8.6 Application of Confidence Interval Estimation in Auditing 8.7 Estimation and Sample Size Estimation for Finite Populations 8.8 Bootstrapping USING STATISTICS: Getting Estimates ... , Revisited SUMMARY REFERENCES KEY EQUATIONS KEY TERMS CHECKING YOUR UNDERSTANDING CHAPTER REVIEW PROBLEMS CASES FOR CHAPTER 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 9. Fundamentals of Hypothesis Testing: One-Sample Tests USING STATISTICS: Significant Testing at Oxford Cereals 9.1 Fundamentals of Hypothesis-Testing Methodology 9.2 t Test of Hypothesis for the Mean (Unknown) 9.3 One-Tail Tests 9.4 Z Test of Hypothesis for the Proportion 9.5 Potential Hypothesis-Testing Pitfalls and Ethical Issues 9.6 Power of the Test USING STATISTICS: Significant Testing ..., Revisited SUMMARY REFERENCES KEY EQUATIONS KEY TERMS CHECKING YOUR UNDERSTANDING CHAPTER REVIEW PROBLEMS CASES FOR CHAPTER Managing Ashland MultiComm Services Digital Case Sure Value Convenience Stores CHAPTER 9 EXCEL GUIDE 10. Two-Sample Tests USING STATISTICS: Differing Means for Selling Streaming Media Players 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 for Selling...Revisited SUMMARY REFERENCES KEY TERMS CHAPTER REVIEW PROBLEMS CASES FOR CHAPTER 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 11. Analysis of Variance USING STATISTICS: The Means to Find Differences at Arlingtons 11.1 The Completely Randomized Design: One-Way ANOVA 11.2 The Factorial Design: 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 REFERENCES KEY EQUATIONS KEY TERMS CHECKING YOUR UNDERSTANDING CHAPTER REVIEW PROBLEMS CASES FOR CHAPTER Managing Ashland MultiComm Services Phase Phase Digital Case Sure Value Convenience Stores CardioGood Fitness More Descriptive Choices Follow-Up Clear Mountain State Student Survey CHAPTER 11 EXCEL GUIDE 12. Chi-Square and Nonparametric Tests USING STATISTICS: Avoiding Guesswork about Resort Guests 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: A Nonparametric Method for Two Independent Populations 12.5 Kruskal-Wallis Rank Test: A Nonparametric Method 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 USING STATISTICS: Avoiding Guesswork..., Revisited SUMMARY REFERENCES KEY EQUATIONS KEY TERMS CHECKING YOUR UNDERSTANDING CHAPTER REVIEW PROBLEMS CASES FOR CHAPTER Managing Ashland MultiComm Services Digital Case Sure Value Convenience Stores CardioGood Fitness More Descriptive Choices Follow-Up Clear Mountain State Student Survey CHAPTER 12 EXCEL GUIDE 13. Simple Linear Regression USING STATISTICS: Knowing Customers at Sunflowers Apparel 13.1 Types of Regression Models 13.2 Determining the Simple Linear Regression Equation 13.3 Measures of Variation 13.4 Assumptions of Regression 13.5 Residual Analysis 13.6 Measuring Autocorrelation: The Durbin-Watson Statistic 13.7 Inferences About the Slopeand Correlation Coefficient 13.8 Estimation of Mean Values and Prediction of Individual Values 13.9 Potential Pitfalls in Regression USING STATISTICS: Knowing Customers...,Revisited SUMMARY REFERENCES KEY EQUATIONS KEY TERMS CHECKING YOUR UNDERSTANDING CHAPTER REVIEW PROBLEMS CASES FOR CHAPTER Managing Ashland MultiComm Services Digital Case Brynne Packaging CHAPTER 13 EXCEL GUIDE 14. Introduction to Multiple Regression USING STATISTICS: The Multiple Effects of OmniPower Bars 14.1 Developing a Multiple Regression Model 14.2 r2, Adjusted r2, and the Overall F Test 14.3 Residual Analysis for the Multiple Regression Model 14.4 Inferences Concerning the Population Regression Coefficients 14.5 Testing Portions of the Multiple Regression Model 14.6 Using Dummy Variables and Interaction Terms in Regression Models 14.7 Logistic Regression USING STATISTICS: The Multiple Effects ..., Revisited SUMMARY REFERENCES KEY EQUATIONS KEY TERMS CHECKING YOUR UNDERSTANDING CHAPTER REVIEW PROBLEMS CASES FOR CHAPTER Managing Ashland MultiComm Services Digital Case CHAPTER 14 EXCEL GUIDE 15. Multiple Regression Model Building USING STATISTICS: Valuing Parsimony at WSTA-TV 15.1 Quadratic Regression Model 15.2 Using Transformations in Regression Models 15.3 Collinearity 15.4 Model Building 15.5 Pitfalls in Multiple Regression and Ethical Issues SUMMARY REFERENCES KEY EQUATIONS KEY TERMS CHECKING YOUR UNDERSTANDING CHAPTER REVIEW PROBLEMS CASES FOR CHAPTER The Mountain States Potato Company Sure Value Convenience Stores Digital Case The Craybill Instrumentation Company Case More Descriptive Choices Follow-Up CHAPTER 15 EXCEL GUIDE 16. Time-Series Forecasting USING STATISTICS: Principled Forecasting 16.1 The Importance of Business Forecasting 16.2 Component Factors of Time-Series Models 16.3 Smoothing an Annual Time Series 16.4 Least-Squares Trend Fitting and Forecasting 16.5 Autoregressive Modeling for Trend Fitting and Forecasting 16.6 Choosing an Appropriate Forecasting Model 16.7 Time-Series Forecasting of Seasonal Data 16.8 Index Numbers Consider This USING STATISTICS: Principled Forecasting, Revisited SUMMARY REFERENCES KEY EQUATIONS KEY TERMS CHECKING YOUR UNDERSTANDING CHAPTER REVIEW PROBLEMS CASES FOR CHAPTER Managing Ashland MultiComm Services Digital Case CHAPTER 16 EXCEL GUIDE 17. Getting Ready to Analyze Data in the Future USING STATISTICS: Mounting Future Analyses 17.1 Analyzing Numerical Variables 17.2 Analyzing Categorical Variables 17.3 Introduction to Business Analytics USING STATISTICS: Back to Arlingtons for the Future 17.4 Descriptive Analytics 17.5 Predictive Analytics USING STATISTICS: The Future to be Visited REFERENCES CHAPTER REVIEW PROBLEMS CHAPTER 17 EXCEL GUIDE 18. Statistical Applications in Quality Management (online) USING STATISTICS: Finding Quality at the Beachcomber 18.1 The Theory of Control Charts 18.2 Control Chart for the Proportion: The p Chart 18.3 The Red Bead Experiment: Understanding Process Variability 18.4 Control Chart for an Area of Opportunity: The c Chart 18.5 Control Charts for the Range and the Mean 18.6 Process Capability 18.7 Total Quality Managementice 18.8 Six Sigma USING STATISTICS: Finding Quality at the Beachcomber, Revisited SUMMARY REFERENCES KEY EQUATIONS KEY TERMS CHAPTER REVIEW PROBLEMS THE HARNSWELL SEWING MACHINE COMPANY CASE MANAGING ASHLAND MULTICOMM SERVICES CHAPTER 18 EXCEL GUIDE 19. Decision Making (online) USING STATISTICS: Reliable Decision Making 19.1 Payoff Tables and Decision Trees 19.2 Criteria for Decision Making 19.3 Decision Making with Sample Information 19.4 Utility CONSIDER THIS: Risky Business USING STATISTICS: Reliable Decision-Making, Revisited SUMMARY 19.23 REFERENCES 19.23 KEY EQUATIONS 19.23 KEY TERMS 19.23 CHAPTER 19 EXCEL GUIDE 19.27 Appendices A. Basic Math Concepts and Symbols A.1 Rules for Arithmetic Operations A.2 Rules for Algebra: Exponents and Square Roots A.3 Rules for Logarithms A.4 Summation Notation A.5 Statistical Symbols A.6 Greek Alphabet B. Important Excel and Minitab Skills and Concepts B.1 Which Excel Do You Use? B.2 Basic Operations B.2 Formulas and Cell References B.4 Entering a Formula B.5 Formatting Cell Contents B.6 Formatting Charts B.7 Selecting Cell Ranges for Charts B.8 Deleting the "Extra" Histogram Bar B.9 Creating Histograms for Discrete Probability Distributions C. Online Resources C.1 About the Online Resources for This Book C.2 Accessing the Online Resources C.3 Details Online Resources C.4 PHStat D. Configuring Microsoft Excel D.1 Getting Microsoft Excel Ready for Use D.2 Checking for the Presence of the Analysis ToolPak or Solver Add-Ins D.3 Configuring Microsoft Windows Excel Security Settings D.4 Opening Pearson-Supplied Add-Ins E. Tables E.1 Table of Random Numbers E.2 The Cumulative Standardized Normal Distribution E.3 Critical Values of t E.4 Critical Values of E.5 Critical Values of F E.6 Lower and Upper Critical Values, T1, of the Wilcoxon Rank Sum Test E.7 Critical Values of the Studentized Range, Q E.8 Critical Values, dI and dU, of the Durbin-Watson Statistic, D (Critical Values Are One-Sided) E.9 Control Chart Factors E.10 The Standardized Normal Distribution online F. Useful Excel Knowledge F.1 Useful Keyboard Shortcuts F.2 Verifying Formulas and Worksheets F.3 New Function Names F.4 Understanding the Nonstatistical Functions G. Software FAQs G.1 PHStat FAQs G.2 Microsoft Excel FAQs Self-Test Solutions and Answers to Selected Even-Numbered Problems Index

About the Author :
David M. Levine is Professor Emeritus of Statistics and Computer Information Systems at Baruch College (City University of New York). He received B.B.A. and M.B.A. degrees in statistics from City College of New York and a Ph.D. from New York University in industrial engineering and operations research. He is nationally recognized as a leading innovator in statistics education and is the co-author of 14 books, including such best-selling statistics textbooks as Statistics for Managers Using Microsoft Excel, Basic Business Statistics: Concepts and Applications, Business Statistics: A First Course, and Applied Statistics for Engineers and Scientists Using Microsoft Excel and Minitab. He also is the co-author of Even You Can Learn Statistics: A Guide for Everyone Who Has Ever Been Afraid of Statistics, currently in its second edition, Six Sigma for Green Belts and Champions and Design for Six Sigma for Green Belts and Champions, and the author of Statistics for Six Sigma Green Belts, all published by FT Press, a Pearson imprint, and Quality Management, third edition, McGraw-Hill/Irwin. He is also the author of Video Review of Statistics and Video Review of Probability, both published by Video Aided Instruction, and the statistics module of the MBA primer published by Cengage Learning. He has published articles in various journals, including Psychometrika, The American Statistician, Communications in Statistics, Decision Sciences Journal of Innovative Education, Multivariate Behavioral Research, Journal of Systems Management, Quality Progress, and The American Anthropologist, and he has given numerous talks at the Decision Sciences Institute (DSI), American Statistical Association (ASA), and Making Statistics More Effective in Schools and Business (MSMESB) conferences. Levine has also received several awards for outstanding teaching and curriculum development from Baruch College. David F. Stephan is an independent instructional technologist. He was an Instructor/Lecturer of Computer Information Systems at Baruch College (City University of New York) for over 20 years and also served as an Assistant to the Provost and to the Dean of the School of Business & Public Administration for computing. He pioneered the use of computer classrooms for business teaching, devised interdisciplinary multimedia tools, and created techniques for teaching computer applications in a business context. He also conducted the first large-scale controlled experiment to show the benefit of teaching Microsoft Excel in a business case context to undergraduate students. An avid developer, he created multimedia courseware while serving as the Assistant Director of a Fund for the Improvement of Postsecondary Education (FIPSE) project at Baruch College. Stephan is also the originator of PHStat, the Pearson Education statistical add-in for Microsoft Excel and a co-author of Even You Can Learn Statistics: A Guide for Everyone Who Has Ever Been Afraid of Statistics and Practical Statistics by Example Using Microsoft Excel and Minitab. He is currently developing ways to extend the instructional materials that he and his co-authors develop to mobile and cloud computing platforms as well as develop social-media facilitated means to support learning in introductory business statistics courses. Stephan received a B.A. in geology from Franklin and Marshall College and a M.S. in computer methodology from Baruch College (City University of New York). Kathryn A. Szabat is Associate Professor and Chair of Business Systems and Analytics at LaSalle University. She teaches undergraduate and graduate courses in business statistics and operations management. She also teaches as Visiting Professor at the Ecole Superieure de Commerce et de Management (ESCEM) in France. Szabat's research has been published in International Journal of Applied Decision Sciences, Accounting Education, Journal of Applied Business and Economics, Journal of Healthcare Management, and Journal of Management Studies. Scholarly chapters have appeared in Managing Adaptability, Intervention, and People in Enterprise Information Systems; Managing, Trade, Economies and International Business; Encyclopedia of Statistics in Behavioral Science; and Statistical Methods in Longitudinal Research. Szabat has provided statistical advice to numerous business, non-business, and academic communities. Her more recent involvement has been in the areas of education, medicine, and nonprofit capacity building. Szabat received a B.S. in mathematics from State University of New York at Albany and M.S. and Ph.D. degrees in statistics, with a cognate in operations research, from the Wharton School of the University of Pennsylvania.