MA 41600, Fall 2018

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	REC 114	12:30pm	MWF	Cushman, John	HAMP 3223
MA 41600 131	UNIV 003	9:30am	MWF	Ward, Mark Daniel	HILL C129
MA 41600 151	REC 309	3:30pm	MWF	Su, Jianxi	No Office
MA 41600 152	REC 309	4:30pm	MWF	Su, Jianxi	No Office
MA 41600 155	UNIV 101	12:00pm	TR	Arapura, Donu	MATH 642
MA 41600 156	REC 313	11:30am	MWF	Sellke, Thomas	No Office

Course Materials

Section	Type	Title	Author
155	Textbook	A First Course in Probability	Sheldon M. Ross
155	Textbook	A First Course in Probability (9th)	Sheldon M. Ross
131	Textbook	Introduction to Proability (1st)	Mark Ward, Ellen Gundlach
156	Textbook	Probability (1st)	Jim Pitman
001	Textbook	A First Course in Probability	Sheldon M. Ross

Important Notes

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