# Introduction to Probability and Statistics B - UCI

Description: UCI Math 131B is an introductory course covering basic principles of probability and statistical inference. Point estimation, interval estimating, and testing hypotheses, Bayesian approaches to inference.

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 131B (UCI OpenCourseWare: University of California, Irvine), ocw.uci.edu/courses/math_131b_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 01## Lec 01. Introduction to Probability and Statistics Instructor: Michael C. Cranston, Ph.D. |

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

## 3) Lecture 03## Lec 03. Introduction to Probability and Statistics Instructor: Michael C. Cranston, Ph.D. Recorded on August 9, 2013 |

## 4) Lecture 04## Lec 04. Introduction to Probability and Statistics Instructor: Michael C. Cranston, Ph.D. Recorded on August 12, 2013 |

## 5) Lecture 05## Lec 05. Introduction to Probability and Statistics Instructor: Michael C. Cranston, Ph.D. Recorded on August 14, 2013 |

## 6) Lecture 06## Lec 06. Introduction to Probability and Statistics Instructor: Michael C. Cranston, Ph.D. Recorded on August 16, 2013 |

## 7) Lecture 07## Lec 07. Introduction to Probability and Statistics Instructor: Michael C. Cranston, Ph.D. Recorded on August 19, 2013 |

## 8) Lecture 08## Lec 08. Introduction to Probability and Statistics Instructor: Michael C. Cranston, Ph.D. Recorded on August 21, 2013 |

## 9) Lecture 09## Lec 09. Introduction to Probability and Statistics Instructor: Michael C. Cranston, Ph.D. Recorded on August 23, 2013 |

## 10) Lecture 10## Lec 10. Introduction to Probability and Statistics Instructor: Michael C. Cranston, Ph.D. Recorded on August 26, 2013 |

## 11) Lecture 11## Lec 11. Introduction to Probability and Statistics Instructor: Michael C. Cranston, Ph.D. Recorded on August 28, 2013 |

## 12) Lecture 12## Lec 12. Introduction to Probability and Statistics Instructor: Michael C. Cranston, Ph.D. Recorded on August 30, 2013 |

## 13) Lecture 13## Lec 13. Introduction to Probability and Statistics Instructor: Michael C. Cranston, Ph.D. Recorded on September 4, 2013 |

## 14) Lecture 14## Lec 14. Introduction to Probability and Statistics Instructor: Michael C. Cranston, Ph.D. |

## 15) Lecture 15## Lec 15. Introduction to Probability and Statistics Instructor: Michael C. Cranston, Ph.D. |

####
**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

####
**Intro to Inferential Statistics**
490 lessons

Inferential statistics allows us to draw conclusions from data that might not be immediately obvious. This course focuses on enhancing your ability to develop hypotheses and use common tests such as t

####
**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

####
**Introduction to Probability and Statistics B - UCI**
15 lessons

Description: UCI Math 131B is an introductory course covering basic principles of probability and statistical inference. Point estimation, interval estimating, and testing hypotheses, Bayesian approac

####
**Language and Literacy - UCI**
16 lessons

This course is designed to help students understand the aspects of linguistic principles and processes that underlie oral and written language proficiency, and how this knowledge is relevant K-12 inst

####
**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

####
**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

####
**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

####
**Machine Learning for Trading**
218 lessons

This course introduces students to the real world challenges of implementing machine learning based trading strategies including the algorithmic steps from information gathering to market orders. The

**TAG Cloud**

**Web Stats**

Active courses: 1,162

Lessons: 27,688

Data: 83 GB

Online: 25 users

News about new courses