Math 131B - Introduction to Probability and Statistics
Math 131B: Introduction to Probability and Statistics (Summer 2013, UC Irvine). Instructor: Professor Michael Cranston. Math 131B is an introductory course covering basic principles of probability and statistical inference. Topics covered in the course include point estimation, interval estimating, testing hypotheses, and Bayesian approaches to inference. The course will cover Chapters 7 through 10 with a touch of 11 of John Rice's Mathematical Statistics and Data Analysis, 3rd Edition, 2007.
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| Lecture 02 |
| Lecture 03 |
| Lecture 04 |
| Lecture 05 |
| Lecture 06 |
| Lecture 07 |
| Lecture 08 |
| Lecture 09 |
| Lecture 10 |
| Lecture 11 |
| Lecture 12 |
| Lecture 13 |
| Lecture 14 |
| Lecture 15 |