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MA 41600, Spring 2019

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 161 LILY 3418 4:30pm TR Su, Jianxi No Office
MA 41600 164 UNIV 019 3:00pm TR Sellke, Sarah No Office
MA 41600 165 UNIV 303 1:30pm TR Wang, Jing MATH 420
MA 41600 166 UNIV 303 12:00pm TR Wang, Jing MATH 420
MA 41600 167 UNIV 101 9:30am MWF Indrei, Emanuel MATH 438
MA 41600 168 UNIV 019 1:30pm TR Sellke, Sarah No Office

Course Materials

Section Type Title Author
165 Textbook A First Course in Probability Sheldon M. Ross
166 Textbook A First Course in Probability Sheldon M. Ross
161 Textbook Introduction to Proability (1st) Mark Ward, Ellen Gundlach
161 Textbook Introduction to Probability Mark Ward,Ellen Gundlach

Important Notes

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Department of Mathematics, Purdue University, 150 N. University Street, West Lafayette, IN 47907-2067

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