Book description
Thought you couldn’t learn statistics? You can – and you will! Even You Can Learn Statistics and Analytics, Third Edition is the practical, uptodate introduction to statistics – for everyone! Now fully updated for "big data" analytics and the newest applications, it'll teach you all the statistical techniques you’ll need for finance, marketing, quality, science, social science, and more – one easy step at a time. Simple jargonfree explanations help you understand every technique, and extensive practical examples and worked problems give you all the handson 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! 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, chisquare, 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. If you need to understand, evaluate, or use statistics in business, academia, or anywhere else, this is the book you've been searching for!
Table of contents
 About This eBook
 Title Page
 Copyright Page
 Dedication Page
 Table of Contents
 Acknowledgments
 About the Authors
 Introduction
 Chapter 1. Fundamentals of Statistics
 Chapter 2. Presenting Data in Tables and Charts
 Chapter 3. Descriptive Statistics
 Chapter 4. Probability
 Chapter 5. Probability Distributions

Chapter 6. Sampling Distributions and Confidence Intervals
 6.1 Foundational Concepts
 6.2 Sampling Error and Confidence Intervals
 6.3 Confidence Interval Estimate for the Mean Using the t Distribution (σ Unknown)
 6.4 Confidence Interval Estimation for Categorical Variables
 6.5 Bootstrapping Estimation
 Important Equations
 OneMinute Summary
 Test Yourself
 References
 Chapter 7. Fundamentals of Hypothesis Testing
 Chapter 8. Hypothesis Testing: Z and t Tests
 Chapter 9. Hypothesis Testing: ChiSquare Tests and the OneWay Analysis of Variance (ANOVA)
 Chapter 10. Simple Linear Regression
 Chapter 11. Multiple Regression
 Chapter 12. Fundamentals of Analytics
 Chapter 13. Descriptive Analytics
 Chapter 14. Predictive Analytics
 Appendix A. Microsoft Excel 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
 Glossary
 Index
Product information
 Title: Even You Can Learn Statistics and Analytics: An Easy to Understand Guide to Statistics and Analytics, Third Edition
 Author(s):
 Release date: December 2014
 Publisher(s): Pearson
 ISBN: 9780133382693
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