Even You Can Learn Statistics and Analytics eBook, 3rd Edition

David M. Levine all

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Even You Can Learn Statistics and Analytics eBook, 3rd Edition

By David M. Levine, David F. Stephan
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David M. Levine all
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Thought you couldn’t learn statistics? You can – and you will! Even You Can Learn Statistics and Analytics 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. Learn how to do all this, and more:
  • Apply statistical techniques to analyse huge data sets and transform them into valuable knowledge
  • Construct and interpret statistical charts and tables with Excel or 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

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Table of contents
  • Introduction: The Even You Can Learn Statistics and Analytics Owners Manual
  • 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
  • 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 Analytic
  • 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