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MA 41600, Fall 2016

Course Description

Credit Hours: 3.00. (STAT 416) An introduction to mathematical probability suitable as a preparation for actuarial science, statistical theory, and mathematical modeling. General probability rules, conditional probability and Bayes theorem, discrete and continuous random variables, moments and moment generating functions, joint and conditional distributions, standard discrete and continuous distributions and their properties, law of large numbers and central limit theorem. Typically offered Fall Spring.

Instructor Info.

Section Room Time Instructor Office
MA 41600 001 UNIV 101 11:30am MWF Sellke, Thomas No Office
MA 41600 131 UNIV 019 9:30am MWF Ward, Mark No Office
MA 41600 151 REC 309 10:30am TR Walther, Uli MATH 746
MA 41600 152 REC 113 10:30am MWF Peterson, Jonathon MATH 430
MA 41600 155 UNIV 101 1:30pm MWF Sellke, Thomas No Office

Course Materials

Section Type Title Author
131 Textbook Introduction to Probability (First Edition) Mark Ward
152 Textbook A First Course in Probability (9th Edition) (9) Sheldon Ross
151 Textbook A First Course in Probability (8th Edition) (8th) Sheldon Ross
155 Textbook Probability (Springer Texts in Statistics) Jim Pitman
001 Textbook Probability (Springer Texts in Statistics) Jim Pitman

Important Notes

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  • In the event of a missed exam, see your instructor/professor as soon as possible.
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Department of Mathematics, Purdue University, 150 N. University Street, West Lafayette, IN 47907-2067

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