Statistical Tools for the Comprehensive Practice of Industrial Hygiene and Environmental Health Sciences
eBook - ePub

Statistical Tools for the Comprehensive Practice of Industrial Hygiene and Environmental Health Sciences

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Statistical Tools for the Comprehensive Practice of Industrial Hygiene and Environmental Health Sciences

About this book

Reviews and reinforces concepts and techniques typical of a first statistics course with additional techniques useful to the IH/EHS practitioner.

  • Includes both parametric and non-parametric techniques described and illustrated in a worker health and environmental protection practice context
  • Illustrated through numerous examples presented in the context of IH/EHS field practice and research, using the statistical analysis tools available in ExcelÂź wherever possible
  • Emphasizes the application of statistical tools to IH/EHS-type data in order to answer IH/EHS-relevant questions
  • Includes an instructor's manual that follows in parallel with the textbook, including PowerPoints to help prepare lectures and answers in the text as for the Exercises section of each chapter.

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Yes, you can access Statistical Tools for the Comprehensive Practice of Industrial Hygiene and Environmental Health Sciences by David L. Johnson in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Industrial Health & Safety. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Title Page
  3. Copyright
  4. Dedication
  5. Table of Contents
  6. Preface
  7. Acknowledgments
  8. About the Author
  9. About the Companion Website
  10. Chapter 1: Some Basic Concepts
  11. Chapter 2: Descriptive Statistics and Methods of Presenting Data
  12. Chapter 3: Analysis of Frequency Data
  13. Chapter 4: Comparing Two Conditions
  14. Chapter 5: Characterizing the Upper Tail of the Exposure Distribution
  15. Chapter 6: One-Way Analysis of Variance
  16. Chapter 7: Two-Way Analysis of Variance
  17. Chapter 8: Correlation Analysis
  18. Chapter 9: Regression Analysis
  19. Chapter 10: Analysis of Covariance
  20. Chapter 11: Experimental Design
  21. Chapter 12: Uncertainty and Sensitivity Analysis
  22. Chapter 13: Bayes' Theorem and Bayesian Decision Analysis
  23. Appendix A: z-Tables of the Standard Normal Distribution
  24. Appendix B: Critical Values of the Chi-Square Distribution
  25. Appendix C: Critical Values for the t-Distribution
  26. Appendix D: Critical Values for Lilliefors Test
  27. Appendix E: Shapiro–Wilk W Test α Coefficients and Critical Values
  28. Appendix F: Critical Values of the F Distribution for α = 0.05
  29. Appendix G: Critical U Values for the Mann–Whitney U Test
  30. Appendix H: Critical Wilcoxon Matched Pairs Test t Values
  31. Appendix I: K Values for Upper Tolerance Limits
  32. Appendix J: Exceedance Fraction 95% Lower Confidence Limit versus Z
  33. Appendix K: q Values for Tukey's, Tukey–Kramer, and Nemenyi's MSD Tests
  34. Appendix L: Appendix L: qâ€Č Values for Dunnett's Test
  35. Appendix M: Q Values for the Bonferroni–Dunn MSD Test
  36. Appendix N: Critical Spearman Rank Correlation Test Values
  37. Appendix O: Critical Values of Kendall's W
  38. Index
  39. End User License Agreement