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MA 41600, Spring 2024

Credit Hours: 3.00. (STAT 41600) 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.

Instructor Info

Section Room Time Instructor Office
001 RAWL 1057 2:30PM MWF Lin Wang
002 RAWL 1057 1:30PM MWF Lin Wang
003 RAWL 1057 1:30PM TR Takashi Owada
004 RAWL 1057 12:00PM TR Takashi Owada
005 SCHM 317 10:30AM MWF Andrey Glubokov
006 SCHM 317 9:30AM MWF Andrey Glubokov
007 WALC 3154 3:30PM MWF Christian James Noack
008 WALC 3154 2:30PM MWF Christian James Noack

Course Materials

Section Type Title Author
001, 002 TEXT Mathematical Statistics with Appications Wackerly, Mendenhall, Scheaffer
003, 004, 005, 006, 007, 008 TEXT A First Course in Probability Sheldon Ross
003, 004 TEXT A First Course in Probability Sheldon M. Ross

Important Notes

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

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