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Lynda - Excel Statistics Essential Training: 1 (2016) - 422098
Lynda - Excel Statistics Essential Training: 1 (2016)
Understanding statistics is more important than ever. Statistical operations are the basis for decision making in fields from business to academia. However, many statistics courses are taught in cookbook fashion, with an emphasis on a bewildering array of tests, techniques, and software applications. In this course, part one of a series, Joseph Schmuller teaches the fundamental concepts of descriptive and inferential statistics and shows you how to apply them using Microsoft Excel.


Table of Contents

  • Introduction
  • 1. Excel Statistics Essentials
  • 2. Understanding Data
  • 3. Probability
  • 4. Central Tendency
  • 5. Variability
  • 6. Distributions
  • 7. Normal Distributions
  • 8. Sampling Distributions
  • 9. Estimation
  • 10. Hypothesis Testing
  • 11. Mean Hypothesis Testing
  • 12. Variance Hypothesis Testing
  • 13. Z and T Hypothesis Testing
  • 14. Matched Sample Hypothesis Testing
  • 15. F-Test Hypothesis Testing
  • 16. Analysis of Variance
  • 17. After the Analysis of Variance
  • 18. Repeated Measures Testing
  • 19. Hypothesis Testing with Two Factors
  • 20. Regression
  • 21. Correlation
  • Conclusion
  • Lynda - Excel Statistics Essential Training: 1 (2016)


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