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Levine D.M., Stephan D.F. Even You Can Learn Statistics: A Guide for Everyone Who Has Ever Been Afraid of Statistics

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Levine D.M., Stephan D.F. Even You Can Learn Statistics: A Guide for Everyone Who Has Ever Been Afraid of Statistics
2nd ed. — FT Press, 2009. — 384 p. — ISBN: 0137010591, 9780137010592
Even You Can Learn Statistics is the easiest guide to using statistics in your everyday work or study. Experienced educators David Levine and David Stephan teach statistics hands-on, in plain English, with as little math and as many revealing examples as possible. Levine and Stephan define each concept and technique in plain English, and then explain why it's important, when it's used, and how you can apply it yourself. This Second Edition is fully-updated with new examples that designed to be easily worked with Microsoft Excel, the free OpenOffice.org Calc spreadsheet program, or any TI-83 compatible calculator. This new edition also adds detailed problems and worked solutions at the end of every chapter, along with a library of updated multiple choice questions that help you quickly test and build your knowledge. It contains more Excel and OpenOffice.org guidance, as well as an entirely new chapter on multiple regression, the powerful statistical tool for understanding the relationship between several independent variables in applications ranging from business to science. If you do want to understand statistics' deeper mathematical foundations, optional "Equation Blackboard" sections illuminate the equations at work beneath many of today's most crucial statistical techniques. Along the way, Levine and Stephan also help you overcome common misconceptions about statistics, so you can use any statistical method more confidently and successfully.
About the Authors
Introduction The Even You Can Learn Statistics Owners Manual
Fundamentals of Statistics
Presenting Data in Charts and Tables
Descriptive Statistics
Probability
Probability Distributions
Sampling Distributions and Confidence Intervals
Fundamentals of Hypothesis Testing
Hypothesis Testing: Z and t Tests
Hypothesis Testing: Chi-Square Tests and the One-Way Analysis of Variance (ANOVA)
Simple Linear Regression
Multiple Regression
Quality and Six Sigma Applications of Statistics
Appendix A Calculator and Spreadsheet Operation and Configuration
Appendix B Review of Arithmetic and Algebra
Appendix C Statistical Tables
Appendix D Spreadsheet Tips
Appendix E Advanced Techniques
Appendix F Documentation for Downloadable Files
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