This exciting text is written for the introductory non-calculus based statistics course offered in mathematics and/or statistics departments. The text contains an abundance of well-constructed and interesting problems at varying levels of difficulty. There is an excellent balance between basic skills and applications, with real-world data adding to its overall appeal.
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An excellent balance between basic skills and applications, with real-world data adding to its overall appeal.
Sheldon M. Ross is a professor in the Department of Industrial Engineering and Operations Research at the University of Southern California. He received his Ph.D. in statistics at Stanford University in 1968. He has published many technical articles and textbooks in the areas of statistics and applied probability. Among his texts are A First Course in Probability, Introduction to Probability Models, Stochastic Processes, and Introductory Statistics. Professor Ross is the founding and continuing editor of the journal Probability in the Engineering and Informational Sciences. He is a Fellow of the Institute of Mathematical Statistics, and a recipient of the Humboldt US Senior Scientist Award.
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