MA 41600, Spring 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 141 UNIV 003 1:30pm MWF Sellke, Sarah No Office
MA 41600 161 UNIV 003 3:30pm MWF Sellke, Sarah No Office
MA 41600 164 UNIV 003 2:30pm MWF Sellke, Sarah No Office
MA 41600 165 UNIV 317 9:00am TR Sung, Yih MATH 444

Course Materials

testing
Section Type Title Author
161 Textbook Probability (Springer Texts in Statistics) - Text is available via Purdue Libraries, purchase of a separate copy is optional. Jim Pitman
161 Textbook Probability (Springer Texts in Statistics) Jim Pitman
165 Textbook A First Course in Probability (8th Edition) (8th) Sheldon Ross
141 Textbook Probability (Springer Texts in Statistics) - Text is available via Purdue Libraries, purchase of a separate copy is optional. Jim Pitman
141 Textbook Probability (Springer Texts in Statistics) Jim Pitman
164 Textbook Probability (Springer Texts in Statistics) Jim Pitman
164 Textbook Probability (Springer Texts in Statistics) - Text is available via Purdue Libraries, purchase of a separate copy is optional. Jim Pitman

Important Notes

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