Statistics (Spring 2017)

This website contains class resources and other useful information.

Visit the canvas website for the course to turn in your homework assignments and discuss with classmates.

You are also welcome to read the course syllabus.  If you have feedback or comments on the course as we go through it, please tell us about it.

Lectures

  1. Introduction.  List of Python Tools.  Python data types.  video watch-online
  2. Visualization and Data Summary.  video watch-online
  3. Counting and Conditional Probability.  video watch-online
  4. Bayes Theorem and Independent Events  video watch-online
  5. Random Variables, Expectation, and Variance  video watch-online
  6. Discrete Distributions  video watch-online

Homeworks

  1. Homework 1
  2. Homework 2

Useful Resources

Books:

  • Devore "Probability and Statistics for Engineering and the Sciences"
  • Montgomery and Runger "Applied Statistics and Probability for Engineers"
  • Hayter "Probability and Statistics for Engineers and Scientists"
  • OpenIntro Statistics at openintro.org

Class Calendar


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