Six Sigma and Beyond
eBook - PDF

Six Sigma and Beyond

Statistics and Probability, Volume III

  1. 368 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Six Sigma and Beyond

Statistics and Probability, Volume III

About this book

Researchers and professionals in all walks of life need to use the many tools offered by the statistical world, but often do not have the necessary experience in both concept and application. No matter what your profession, sooner or later numbers need to be crunched, and often you need to understand how to do it, and why it is important. Quality c

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Yes, you can access Six Sigma and Beyond by D.H. Stamatis in PDF and/or ePUB format, as well as other popular books in Business & Quality Control in Engineering. We have over one million books available in our catalogue for you to explore.

Information

Publisher
CRC Press
Year
2002
Print ISBN
9781574443127
eBook ISBN
9781420000269

Table of contents

  1. Front cover
  2. Preface
  3. About the Author
  4. Acknowledgments
  5. List of Figures
  6. List of Tables
  7. Table of Contents
  8. Part I: Essential Concepts of Statistics
  9. Introduction
  10. Chapter 1. Designing and Using Forms for Studies
  11. Chapter 2. Counting Frequencies
  12. Chapter 3. Summarizing Data
  13. Chapter 4. Working with the Normal Distribution
  14. Chapter 5. Testing Hypotheses about Two Independent Means
  15. Chapter 6. Testing Hypotheses about Two Dependent Means
  16. Chapter 7. Comparing Several Means
  17. Chapter 8. Measuring Association
  18. Chapter 9. Calculating Regression Lines
  19. Chapter 10. Common Miscellaneous Statistical Tests
  20. Chapter 11. Advanced Topics in Statistics
  21. Chapter 12. Time Series and Forecasting
  22. Part II: Essential Concepts of Probability
  23. Chapter 13. Functions of Real and Random Variables
  24. Chapter 14. Set Theory
  25. Chapter 15. Permutations and Combinations
  26. Chapter 16. Discrete and Continuous Random Variables
  27. Part III: Appendices
  28. Appendix A-Matrix Algebra: An Introduction
  29. Appendix B- The Simplex Method in Two Dimensions
  30. Appendix C-Bernoulli Trails
  31. Appendix D-Markov Chains
  32. Appendix E-Optimization
  33. Appendix F-Randomized Strategies
  34. Appendix G-Lagrange Multipliers
  35. Appendix H-Monte Carlo Simulation
  36. Appendix I -Statistical Reporting Content
  37. Selected Bibliography
  38. Index
  39. Back cover