More Mathematics Courses
Introduction to Probability and Statistics
Course Description
This is an introductory course by Michael C. Cranston, Ph.D., covering basic principles of probability and statistical inference. Topics covered in this course: Axiomatic definition of probability, random variables, probability distributions, expectation.
Copyright Information
Cranston, Michael C. Math 131A (UCI OpenCourseWare: University of California, Irvine), http://ocw.uci.edu/courses/math_131a_introduction_to_probabi... [March 4, 2015]. License: Creative Commons Attribution-ShareAlike 3.0 United States License. (http://creativecommons.org/licenses/by-sa/3.0/deed.en_US)

Lecture 13: Hypothesis Testing
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Video Lectures & Study Materials
Visit the official course website for more study materials: http://ocw.uci.edu/courses/math_131a_introduction_to_probability_and_statistics.html
# | Lecture | Play Lecture |
---|---|---|
1 | Probability (1:44:04) | Play Video |
2 | Probability II (1:12:42) | Play Video |
3 | Random Variables (1:41:35) | Play Video |
4 | Joint Distribution (1:39:13) | Play Video |
5 | Expected Values (1:38:32) | Play Video |
6 | Joint Distribution (1:39:56) | Play Video |
7 | Limit Theorems (1:42:39) | Play Video |
8 | Distributions from Normal Distribution (1:32:55) | Play Video |
9 | Conditional Probability (1:01:37) | Play Video |
10 | Survey Sampling (1:35:35) | Play Video |
11 | Estimation of Parameters (1:34:49) | Play Video |
12 | Fitting of Probability Distributions (1:33:41) | Play Video |
13 | Hypothesis Testing (1:42:14) | Play Video |
14 | Random Sampling (1:37:15) | Play Video |
15 | Simple Random Sampling (1:09:14) | Play Video |
16 | Final Review (1:44:48) | Play Video |
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