Even You Can Learn Statistics and Analytics: An Easy to Understand Guide to Statistics and Analytics, 3rd Edition
©2015 |Pearson FT Press | Available
David M. Levine
David F. Stephan, Two Bridges Instructional Technology
©2015 |Pearson FT Press | Available
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:
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!
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
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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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