# Introduction to Probability and Statistics A - UCI

Description: UCI Math 131A is an introductory course covering basic principles of probability and statistical inference. Axiomatic definition of probability, random variables, probability distributions, expectation.

License: Creative Commons CC-BY-SA

Terms of Use: ocw.uci.edu/info

More courses at ocw.uci.edu

Required attribution: Cranston, Michael C. Math 131A (UCI OpenCourseWare: University of California, Irvine), ocw.uci.edu/courses/math_131a_in....html. [Access date]. License: Creative Commons Attribution-ShareAlike 3.0 United States License. (creativecommons.org/licenses/by-...n_US)

## Lessons hide description |
---|

## 1) Lecture 1. Probability## Lec 01. Introduction to Probability and Statistics: Probability Instructor: Michael C. Cranston, Ph.D. Recorded on June 24, 2013 |

## 2) Lecture 2. Probability## Lec 02. Introduction to Probability and Statistics: Probability Instructor: Michael C. Cranston, Ph.D. Recorded on June 26, 2013 |

## 3) Lecture 3. Random Variables## Lec 03. Introduction to Probability and Statistics: Random Variables Instructor: Michael C. Cranston, Ph.D. Recorded on June 28, 2013 |

## 4) Lecture 4. Joint Distribution## Lec 04. Introduction to Probability and Statistics: Joint Distribution Instructor: Michael C. Cranston, Ph.D. Recorded on July 1, 2013 |

## 5) Lecture 5. Expected Values## Lec 05. Introduction to Probability and Statistics: Expected Values Instructor: Michael C. Cranston, Ph.D. Recorded on July 3, 2013 |

## 6) Lecture 6. Joint Distribution## Lec 06. Introduction to Probability and Statistics: Joint Distribution Instructor: Michael C. Cranston, Ph.D. Recorded on July 5, 2013 |

## 7) Lecture 7. Limit Theorems## Lec 07. Introduction to Probability and Statistics: Limit Theorems Instructor: Michael C. Cranston, Ph.D. Recorded on July 8, 2013 |

## 8) Lecture 8: Distributions from normal Distribution## Lec 08. Introduction to Probability and Statistics: Distributions from normal Distribution Instructor: Michael C. Cranston, Ph.D. Recorded on July 10, 2013 |

## 9) Lecture 9. Conditional Probability## Lec 09. Introduction to Probability and Statistics: Conditional Probability Instructor: Michael C. Cranston, Ph.D. Recorded on July 12, 2013 |

## 10) Lecture 10. Survey Sampling## Lec 10. Introduction to Probability and Statistics: Survey Sampling Instructor: Michael C. Cranston, Ph.D. Recorded on July 15, 2013 |

## 11) Lecture 11. Estimation of Parameters## Lec 11. Introduction to Probability and Statistics: Estimation of Parameters Instructor: Michael C. Cranston, Ph.D. Recorded on July 17, 2013 |

## 12) Lecture 12. Fitting of Probability Distributions## Lec 12. Introduction to Probability and Statistics: Fitting of Probability Distributions Instructor: Michael C. Cranston, Ph.D. Recorded on July 19, 2013 |

## 13) Lecture 13. Hypothesis Testing## Lec 13. Introduction to Probability and Statistics: Hypothesis Testing Instructor: Michael C. Cranston, Ph.D. Recorded on July 22, 2013 |

## 14) Lecture 14. Random Sampling## Lec 14. Introduction to Probability and Statistics: Random Sampling Instructor: Michael C. Cranston, Ph.D. Recorded on July 25, 2013 |

## 15) Lecture 15. Simple Random Sampling## Lec 15. Introduction to Probability and Statistics: Simple Random Sampling Instructor: Michael C. Cranston, Ph.D. Recorded on July 26, 2013 |

## 16) Lecture 16. Final Review## Lec 16. Introduction to Probability and Statistics: Lecture 16. Final Review Instructor: Michael C. Cranston, Ph.D. Recorded on July 29, 2013 |

####
**Software Architecture & Design**
673 lessons

Software Architecture and Design teaches the principles and concepts involved in the analysis and design of large software systems. This course is split into four sections: (1) Introduction, (2) UML a

####
**Einstein's General Relativity and Gravitation - UCI**
24 lessons

The graduate General Relativity course is taught by Professor Herbert W. Hamber, Ph.D. Description: "Einstein's General Relativity and Gravitation" is taught at UCI as Physics 255. Topics covered: A

####
**Mathematical Biology - UCI**
27 lessons

Introduction to Mathematical Modeling in Biology is taught by Professor German A. Enciso, Ph.D. The book for this class is "Mathematical Models in Biology" by Leah Edelstein-Keshet, SIAM, 2005 and co

####
**Introduction to Probability and Statistics A - UCI**
16 lessons

Description: UCI Math 131A is an introductory course covering basic principles of probability and statistical inference. Axiomatic definition of probability, random variables, probability distribution

####
**Intro to Descriptive Statistics**
395 lessons

Statistics is an important field of math that is used to analyze, interpret, and predict outcomes from data. Descriptive statistics will teach you the basic concepts used to describe data. This is a g

####
**Earth System Science 5: The Atmosphere - UCI**
19 lessons

Description: The composition and circulation of the atmosphere with a focus on explaining the fundamentals of weather and climate. Topics include solar and terrestrial radiation, clouds, and weather p

####
**Math 1A/1B. Pre-Calculus: Functions and Graphs - UCI**
35 lessons

Description: UCI Math 1A/1B: Precalculus is designed to prepare students for a calculus course. This course is taught so that students will acquire a solid foundation in algebra and trigonometry. The

####
**Intro to Statistics**
960 lessons

Statistics is about extracting meaning from data. In this class, we will introduce techniques for visualizing relationships in data and systematic techniques for understanding the relationships using

####
**The Power of Macroeconomics - UCI**
69 lessons

Description: In this course, you will learn all of the major principles of macroeconomics normally taught in a quarter or semester course to college undergraduates or MBA students. Perhaps more im

####
**Intro to Computer Science**
151 lessons

In this introduction to computer programming course, you’ll learn and practice key computer science concepts by building your own versions of popular web applications. You’ll learn Python, a power...

**TAG Cloud**

**Web Stats**

Active courses: 1,160

Lessons: 27,686

Data: 83 GB

Online: 31 users

News about new courses