Even You Can Learn Statistics and Analytics

David M. Levine / David F. Stephan  
Total pages
December 2014
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Even You Can Learn Statistics and Analytics
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Now fully updated for "big data" analytics and the newest applications, Even You Can Learn Statistics and Analytics, Third Edition is the practical, up-to-date introduction to statistics an analytics – for everyone!


One easy step at a time, you’ll learn all the statistical techniques you’ll need for finance, marketing, quality, science, social science, or anything else. Simple jargon-free explanations help you understand every technique, and realistic examples and worked problems give you all the hands-on practice you’ll need. This edition contains more practical examples than ever – all updated for the newest versions of Microsoft Excel. You’ll find downloadable practice files, templates, data sets, and sample models – including complete solutions you can put right to work in business, school, or anywhere else. Learn how to do all this, and more:  

  • Apply statistical techniques to analyze huge data sets and transform them into valuable knowledge
  • Construct and interpret statistical charts and tables with Excel or OpenOffice.org Calc 3
  • Work with mean, median, mode, standard deviation, Z scores, skewness, and other descriptive statistics
  • Use probability and probability distributions
  • Work with sampling distributions and confidence intervals
  • Test hypotheses with Z, t, chi-square, ANOVA, and other techniques
  • Perform powerful regression analysis and modeling
  • Use multiple regression to develop models that contain several independent variables
  • Master specific statistical techniques for quality and Six Sigma programs 

Hate math? No sweat. You’ll be amazed at how little you need. Like math? Optional “Equation Blackboard” sections reveal the mathematical foundations of statistics right before your eyes! Thought you couldn’t learn statistics? You can – and you will!


The world’s best guide to using and understanding statistics without being overwhelmed by math – now fully updated for the analytics revolution! 

  • Master all the statistics you need for finance, quality, marketing, social sciences, and modern "big data" analytics – one easy step at a time!
  • Includes all-new chapters on analytics concepts and applications, and on descriptive and predictive analytical methods
  • Presents expanded discussions and examples based on the latest versions of Microsoft Excel: Excel 2013 for Windows, Excel 2011 for OS X, and Office 365 Excel
  • Covers descriptive statistics, probability, sampling, hypothesis testing, regression analysis, multiple regressions, Six Sigma statistical quality techniques, and more
  • Includes many new and revised problems, both within and at the end of chapters

Table of Contents

Introduction: The Even You Can Learn Statistics and Analytics Owners Manual   xi
Chapter 1: Fundamentals of Statistics   1
Chapter 2: Presenting Data in Tables and Charts   15
Chapter 3: Descriptive Statistics   37
Chapter 4: Probability   67
Chapter 5: Probability Distributions   79
Chapter 6: Sampling Distributions and Confidence Intervals   113
Chapter 7: Fundamentals of Hypothesis Testing   137
Chapter 8: Hypothesis Testing: Z and t Tests   149
Chapter 9: Hypothesis Testing: Chi-Square Tests and the One-Way Analysis of Variance (ANOVA)    175
Chapter 10: Simple Linear Regression   203
Chapter 11: Multiple Regression   239
Chapter 12: Fundamentals of Analytics   257
Chapter 13: Descriptive Analytics   265
Chapter 14: Predictive Analytics   277
Appendix A: Microsoft Excel Operation and Configuration   293
Appendix B: Review of Arithmetic and Algebra   295
Appendix C: Statistical Tables   305
Appendix D: Spreadsheet Tips   333
Appendix E: Advanced Techniques   337
Appendix F: Documentation for Downloadable Files   345
Glossary   349
Index   357

Back Cover

The Completely Updated Guide for Everyone Who’s Ever Been Afraid of Statistics or Analytics!
Using jargon-free language and no mathematical equations, this book presents the statistical and analytical techniques you’ll need for business, the sciences, or anything else!

This edition adds three all-new chapters that discuss analytics, methods that help you uncover patterns in data sets of all sizes--even Big Data. Updated examples and problems give you hands-on practice.

Special appendices present detailed instructions for developing answers using Microsoft Excel. Like math? Optional “Equation Blackboard” sections present the mathematical foundations of techniques taught! Like using a TI-83/84 calculator? Optional sections provide walkthroughs.

Here’s just some of what you’ll learn how to do...

  • Master statistical and analytical tools built into current versions of Microsoft Excel (Mac or PC)
  • Work with mean, median, mode, standard deviation, Z scores, skewness, and other descriptive statistics
  • Use probability, probability distributions, sampling distributions, and confidence intervals
  • Test hypotheses with Z, t, chi-square, ANOVA, and other techniques
  • Perform powerful regression analysis and modeling, including multiple regressions
  • Understand analytics: its concepts, terminology, methods, capabilities, and limitations
  • Apply predictive analytics to anticipate likely near-term outcomes

About the Website: Download practice files, templates, data sets, and sample spreadsheet models--including ready-to-use solutions for your own work!


David M. Levine is Professor Emeritus of Statistics and Computer Information Systems at Baruch College-CUNY. He received B.B.A. and M.B.A. degrees in Statistics from City College of New York and a Ph.D. degree from New York University in Industrial Engineering and Operations Research. He is nationally recognized as a leading innovator in business statistics education and is the coauthor of 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 author of Statistics for Six Sigma Green Belts and Champions, published by Financial Times-Prentice-Hall. He is coauthor of Six Sigma for Green Belts and Champions and Design for Six Sigma for Green Belts and Champions also published by Financial Times-Prentice-Hall, and Quality Management Third Ed., McGraw-Hill-Irwin. He is also the author of Video Review of Statistics and Video Review of Probability, both published by Video Aided Instruction. He has published articles in various journals including Psychometrika, The American Statistician, Communications in Statistics, Multivariate Behavioral Research, Journal of Systems Management, Quality Progress, and The American Anthropologist and has given numerous talks at American Statistical Association, Decision Sciences Institute, and Making Statistics More Effective in Schools of Business conferences. While at Baruch College, Dr. Levine received numerous awards for outstanding teaching.

David F. Stephan is an independent instructional technologist. During his more than 20 years teaching at Baruch College-CUNY, he pioneered the use of computer-equipped classrooms and interdisciplinary multimedia tools, was an associate director of a U.S. Department of Education FIPSE project that applied interactive media to support instruction and devised techniques for teaching computer applications in a business context. A frequent participant in the Decision Sciences Institute’s Making Statistics for More Effective in School of Business mini-conferences, he is also a coauthor of Business Statistics: A First Course and Statistics for Managers Using Microsoft Excel. He is also the developer of PHStat, the statistics add-in for Microsoft Excel distributed by Pearson Education.