Skip to main content

MA 41600, Spring 2023

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
165 UNIV 117 1:30PM MWF Thomas M Sellke
166 UNIV 117 2:30PM MWF Thomas M Sellke
167 UNIV 017 9:00AM TR Xiao Wang
168 UNIV 017 10:30AM TR Xiao Wang
170 SCHM 313 9:00AM TR Christian James Noack
171 UNIV 117 9:30AM MWF Andrey Glubokov
172 UNIV 117 8:30AM MWF Mireille Boutin MSEE 342
173 UNIV 117 10:30AM MWF Andrey Glubokov

Course Materials

Section Type Title Author
165, 166 TEXT Probability and Statistics: The Science of Uncertainty Jim Pitman
165, 166 TEXT Probability Jim Pitman
167, 168 TEXT Introduction to Mathematical Statistics Robert Hogg, Joseph McKean, Allen Craig
167, 168 TEXT Introduction to Mathematical Statistics Robert V. Hogg,Joseph W. McKean,Allen T. Craig
170, 171, 172, 173 TEXT A First Course in Probability Sheldon Ross
172 TEXT Introduction to Probability Models Sheldon Ross

Important Notes

  • ADA policies: please see our ADA Information page for more details
  • In the event of a missed exam, see your instructor/professor as soon as possible.
  • See the online course evaluation page for more information on how we collect course feedback from students

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

Phone: (765) 494-1901 - FAX: (765) 494-0548  Contact Us

© 2024 Purdue University | An equal access/equal opportunity university | Copyright Complaints | DOE Degree Scorecards

Trouble with this page? Accessibility issues? Please contact the College of Science.

Maintained by Science IT