MA 41600, Spring 2022
Probability
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. Typically offered Fall Spring.
Instructor Info
Course Materials
| Section |
Type |
Title |
Author |
| 165, 166, 167, 168, 170, 172 |
TEXT |
A First Course in Probability |
Sheldon Ross |
| 167, 168, 170, 172, 173 |
TEXT |
First Course in Probability, A |
Sheldon Ross |
| 171 |
TEXT |
Basic Probability Theory |
Robert B. Ash |
| 171, 173 |
TEXT |
An Introduction to Probability Theory and Its Applications, Volume 1 - Second Book required: Basic Probability Theory by Robert B. Ash, Dover Publications, ISBN:9780486466286. A reference text, not required is: Fundamentals of Probability, A First Course by Anirban DasGupta, Springer, ISBN: 9781461425816. Free copies of all 3 books are online. |
William Feller |
| 171 |
TEXT |
Fundamentals of Probability, A First Course |
Anirban DasGupta |
| 171 |
TEXT |
An Introduction to Probabiity Theory and its Applications Volume 1 |
William Feller |
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