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

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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