6.00SC Introduction to Computer Science and Programming, Spring 2011

Lecture 15: Statistical Thinking

author: John Guttag, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, MIT
recorded by: Massachusetts Institute of Technology, MIT
published: Oct. 29, 2012, recorded: March 2011, views: 3142
released under terms of: Creative Commons Attribution Non-Commercial Share Alike (CC-BY-NC-SA)

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Description

This lecture presents ways of ascertaining how dependable information extracted from samples is likely to be. It covers standard deviation, coefficient of variation, and standard error. It also shows how to use pylab to produce histograms.

Topics covered: Variance, standard deviation, standard error.

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Reviews and comments:

1 Josephine Murdoch, March 11, 2020 at 10:25 a.m.:

Thank you for the great video lecture! It was very helpful for me!

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