Even You Can Learn Statistics and Analytics: An Easy to Understand Guide to Statistics and Analytics - Softcover

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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.

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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