Lecture 14: Sampling and Monte Carlo Simulation
recorded by: Massachusetts Institute of Technology, MIT
published: Oct. 29, 2012, recorded: March 2011, views: 4100
released under terms of: Creative Commons Attribution Non-Commercial Share Alike (CC-BY-NC-SA)
Report a problem or upload filesIf you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
This lecture starts with some examples of how to use pylab's plotting mechanisms. It then returns to the topic of using probability and statistics to derive information from samples.
Topics covered: Plotting, randomness, probability, Pascal's algorithm, Monte Carlo simulation, inferential statistics, gambler's fallacy, law of large numbers.
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !