ISE Essential Statistics - William Navidi

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Résumé :
Essential Statistics, 3rd Edition, is designed for an introductory course in statistics. The mathematical prerequisite is basic algebra. In addition to presenting the mechanics of the subject, the authors have endeavored to explain the concepts behind them in a straightforward, clear, and engaging writing style. As practicing statisticians, the authors have done everything possible to ensure that the material is accurate and correct. This text will enable instructors to explore statistical concepts in depth yet remain easy for students to read and understand.

Biographie:
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.

Sommaire:
Chapter 1: Basic Ideas
Chapter 2: Graphical Summaries of Data
Chapter 3: Numerical Summaries of Data
Chapter 4: Probability
Chapter 5: Discrete Probability Distributions
Chapter 6: The Normal Distribution
Chapter 7: Confidence Intervals
Chapter 8: Hypothesis Testing
Chapter 9: Inferences on Two Samples
Chapter 10: Tests with Qualitative Data
Chapter 11: Correlation and Regression