# 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 |

####
**Inorganic Chemistry: UCI**
30 lessons

Description: This course is an introduction to modern inorganic chemistry. Topics include principles of structure, bonding, and chemical reactivity with application to compounds of the main group and

####
**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

####
**The Power of Microeconomics - UCI**
61 lessons

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

####
**Math of Finance - UCI**
15 lessons

Description: UCI Math 176 covers the following topics: reviewing of tools from probability, statistics, and elementary differential and partial differential equations, concepts such as hedging, arbitr

####
**Math 1A/1B. Pre-Calculus: Algebra and Geometry Review - UCI**
51 lessons

This open course provides the student with review of intermediate algebra, geometry, and trigonometry. It is designed for those want to be successful in an introductory college calculus course, but wo

####
**Physics 50: Math Methods - UCI**
75 lessons

Description: Mathematica and its applications to linear algebra, differential equations, and complex functions. Fourier series and Fourier transforms. Other topics in integral transforms. Filmed Sprin

####
**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 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

####
**Engineering Mathematics: Linear Algebra and ODEs - MIT**
4 lessons

Introduction to linear algebra and ordinary differential equations (ODEs), including general numerical approaches to solving systems of equations. Instructor: Gilbert Strang View the complete course

####
**Chemistry: Quantum Principles - UCI**
28 lessons

Description: This course provides an introduction to quantum mechanics and principles of quantum chemistry with applications to nuclear motions and the electronic structure of the hydrogen atom. It al

**TAG Cloud**

**Web Stats**

Active courses: 1,180

Lessons: 27,706

Data: 83 GB

Online: 116 users

News about new courses