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Probability and Statistics for Cereals and Grains

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Descripción

**Association of American Publishers (AAP) PROSE Award Finalist in Mathematics and Statistics, 2024** Probability and Statistics for Cereals and Grains: A Guide to Measurement and Analysis is a guide to help technical people be more efficient users of statistics. Author Terry C. Nelsen uses examples from his 35-plus years of experience in the field and presents the appropriate statistics and graphics to use when evaluating data. Researchers, academicians, students, technicians, processors, laboratory personnel, and those working in QA/QC will benefit from this much needed reference.

  • Contains examples from actual experience in the field to illustrate approaches to problem- solving
  • Features recommendations on which tests and graphs to use and what to look for in the results
  • Presents considerations to direct readers to effective tools and practices and suggests ways to streamline their own evaluation and decision-making
  • Includes an appendix that provides readers with datasets and graphs that relate to specific content in chapters

1. Chapter One. Introduction - p. 1 2. Chapter Two. Measurement - p. 9 3. Chapter Three. Normal distribution - p. 27 4. Chapter Four. Means, medians, modes, and quartiles - p. 49 5. Chapter Five. Outliers - p. 59 6. Chapter Six. Sampling - p. 65 7. Chapter Seven. Probability - p. 75 8. Chapter Eight. Nonnormal distributions - p. 101 9. Chapter Nine. Decisions and ANOVA - p. 115 10. Chapter Ten. Categorical data and chi-square - p. 147 11. Chapter Eleven. Correlation - p. 161 12. Chapter Twelve. Regression - p. 179 13. Chapter Thirteen. Measuring near zero (LOD, LOQ) - p. 195 14. Chapter Fourteen. Efficient design of experiments (DOE) - p. 201 15. Appendix - p. 215 16. Index - p. 219

Descripcion
Descripción

**Association of American Publishers (AAP) PROSE Award Finalist in Mathematics and Statistics, 2024** Probability and Statistics for Cereals and Grains: A Guide to Measurement and Analysis is a guide to help technical people be more efficient users of statistics. Author Terry C. Nelsen uses examples from his 35-plus years of experience in the field and presents the appropriate statistics and graphics to use when evaluating data. Researchers, academicians, students, technicians, processors, laboratory personnel, and those working in QA/QC will benefit from this much needed reference.

  • Contains examples from actual experience in the field to illustrate approaches to problem- solving
  • Features recommendations on which tests and graphs to use and what to look for in the results
  • Presents considerations to direct readers to effective tools and practices and suggests ways to streamline their own evaluation and decision-making
  • Includes an appendix that provides readers with datasets and graphs that relate to specific content in chapters

1. Chapter One. Introduction - p. 1 2. Chapter Two. Measurement - p. 9 3. Chapter Three. Normal distribution - p. 27 4. Chapter Four. Means, medians, modes, and quartiles - p. 49 5. Chapter Five. Outliers - p. 59 6. Chapter Six. Sampling - p. 65 7. Chapter Seven. Probability - p. 75 8. Chapter Eight. Nonnormal distributions - p. 101 9. Chapter Nine. Decisions and ANOVA - p. 115 10. Chapter Ten. Categorical data and chi-square - p. 147 11. Chapter Eleven. Correlation - p. 161 12. Chapter Twelve. Regression - p. 179 13. Chapter Thirteen. Measuring near zero (LOD, LOQ) - p. 195 14. Chapter Fourteen. Efficient design of experiments (DOE) - p. 201 15. Appendix - p. 215 16. Index - p. 219

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Autores
Muestra
Ficha Técnica