Course18.052 lectures1 h 55 min

Introduction to Probability and Statistics

Dr. Jeremy Orloff and Jonathan Bloom · Massachusetts Institute of Technology

Start with lecture 1 At MIT OpenCourseWare

About

This course provides an elementary introduction to probability and statistics with applications. Topics include: basic combinatorics, random variables, probability distributions, Bayesian inference, hypothesis testing, confidence intervals, and linear regression.

The Spring 2014 version of this subject employed the residential MITx system, which enables on-campus subjects to provide MIT students with learning and assessment tools such as online problem sets, lecture videos, reading questions, pre-lecture questions, problem set assistance, tutorial videos, exam review content, and even online exams.

Lectures

Instructor Insights

Sample Class: Class 11–Bayesian Updating: Discrete Priors 1 h 2 min · Video

Course History

HHMI Education Group Seminar: Flipping the Dice 53 min · Video

Syllabus and materials

At MIT OpenCourseWare, as the course publishes them.

Credits and licence

Institution: Massachusetts Institute of Technology
Department: Mathematics
Taught by: Dr. Jeremy Orloff, Jonathan Bloom
Term: Spring 2014
Level: Undergraduate
Language: English
Subjects: Mathematics
Source: MIT OpenCourseWare
Licence: CC BY-NC-SA 4.0, as MIT OpenCourseWare states it. Non-commercial use only. MIT OpenCourseWare's terms
Attribution: Dr. Jeremy Orloff, Jonathan Bloom. Introduction to Probability and Statistics. Spring 2014. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu/. License: Creative Commons BY-NC-SA.
Who can watch: MIT OpenCourseWare gives no rating. Invisible Network shows it to Tweens profiles and older, judged from what the source says about it. How courses are placed