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Elementary Statistics, 3rd
Index of Applications
Chapter 1. Basic Ideas
Chapter 2. Graphical Summaries of Data
Chapter 3. Numerical Summaries of Data
Chapter 4. Summarizing Bivariate Data
Chapter 5. Probability
Chapter 6. Discrete Probability Distributions
Chapter 7. The Normal Distribution
Chapter 8. Confidence Intervals
Chapter 9. Hypothesis Testing
Chapter 10. Two-Sample Confidence Intervals
Chapter 11. Two-Sample Hypothesis Tests
Chapter 12. Tests with Qualitative Data
Chapter 13. Inference in Linear Models
Chapter 14. Analysis of Variance
Chapter 15. Nonparametric Statistics
Answers to Odd- Numbered Exercises(Student Edition only)
Answers to Selected Exercises(Instructor's Edition only)
William Navidi received a B.A. in mathematics from New College, an M.A in mathematics from Michigan State University, and a Ph.D. in statistics from the University of California at Berkeley. Dr. Navidi is a professor of applied mathematics and statistics at the Colorado School of Mines in Golden, Colorado. He began his teaching career at the County College of Morris in Dover, New Jersey. He has taught mathematics and statistics at all levels, from developmental through the graduate level. Dr. Navidi has written two engineering statistics textbooks for McGraw-Hill and has authored more than 50 research papers, both in statistical theory and in a wide variety of applications, including computer networks, epidemiology, molecular biology, chemical engineering, and geophysics.
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