Math 3215J (Probability and Statistics), Spring 2021
Complementary notes
These notes are made in Jupyter notebook to complement the slides. In the links below they are run on Binder via nbinteract. You may need to press `Show Widgets` at the top of the page to show interactive widgets. You may also need to wait for a few secs for it to launch. The Jupyer notebooks are hosted on Github at the following repo. If you want to run locally you can download the notebooks from Github.
You can also go to binder by clicking the link below. There you will be able to modify, play with, and save the code (maybe a better option if there are numerical examples in the lecture note).

Set theory, probability, combinatorics
Binder link 
Discrete random variables
Binder link 
Proof that the median minimizes the sum of absolute value differences

Mathematical expectation
Binder link 
Continuous random variables
Binder link 
Bivariate random variables
Binder link 
Central limit theorem
Binder link 
Brownian motion
Binder link 
Random number generation
Binder link 
Discriptive statistics, statistical estimation
Binder link