ISE Elementary Statistics - William Navidi

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Résumé :
Navidi/Monk, Elementary Statistics was developed around three central themes - Clarity, Quality, and Accuracy. These central themes were born out of extensive market research and feedback from statistics instructors across the country. The authors paid close attention to how material is presented to students, ensuring that the content in the text is very clear, concise, and digestible. High quality exercises, examples and integration of technology are important aspects of an Introductory Statistics text. The authors have provided robust exercise sets that range in difficulty. They have also focused keen attention to ensure that examples provide clear instruction to students. Technology is integrated throughout the text, providing students examples of how to use the TI-84 Plus Graphing Calculators, Microsoft Excel and Minitab. The accuracy of Elementary Statistics was a foundational principle always on the minds of the authors. While this certainly pertains to all aspects of the text, the authors also exhausted energy in ensuring the supplements have been developed to fit cohesively with the text.

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:
1 Basic Ideas2 Graphical Summaries of Data
3 Numerical Summaries of Data
4 Summarizing Bivariate Data
5 Probability
6 Discrete Probability Distributions
7 The Normal Distribution
8 Confidence Intervals
9 Hypothesis Testing
10 Two-Sample Confidence Intervals
11 Two-Sample Hypothesis Tests
12 Tests with Qualitative Data
13 Inference in Linear Models
14 Analysis of Variance
15 Nonparametric Statistics
Appendix A: Tables
Appendix B: TI-84 PLUS Stat Wizards