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Even You Can Learn Statistics, Fourth Edition, is now available with new and expanded content.Thought you couldn’t learn statistics? You can – and you will! Even You Can Learn Statistics and Analytics, Third Edition is the practical, up-to-date 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 jargon-free explanations help you understand every technique, and extensive practical 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! 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. 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
- One-Minute Summary
- Test Yourself
- References
- Chapter 7. Fundamentals of Hypothesis Testing
- Chapter 8. Hypothesis Testing: Z and t Tests
- Chapter 9. Hypothesis Testing: Chi-Square Tests and the One-Way 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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