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Probability Cheatsheet v2.0
Compiled by William Chen (http:/wzchen.com) and Joe Blitzstein,
with contributions from Sebastian Chiu, Yuan Jiang, Yuqi Hou, and
Jessy Hwang. Material based on Joe Blitzst
ECE302
Problem Set 4
Fall 2017
For week of Thursday, Oct. 12th Tuesday, Oct 17th
The key concept we learnt this week was that of random variables. This is a fundamental concept in probability theory a
ECE302
Problem Set 2
For week of Sept. 25th
Fall 2017
Some of the key concepts we learnt this week:



Probability is an assignment: we are assigning a number to each possible event in the event cl
ECE302
Problem Set 3
For week of Oct. 2nd
Fall 2017
Some of the key concepts we learnt this week:

Conditional probability led to the total probability law. Given a partition cfw_Bi, i = 1,2,.n on th
ECE302
Problem Set 1
For week of Sept. 18th
Fall 2017
Illustrating randomness and the role of probability theory in our lives:
1. A student lives in Mississauga and during the term leaves an hour befo
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ECE302
Problem Set 4
For October 14 and October 17th 2016
th
Fall 2016
14. Let X be a Binomial random variable with parameters n and p, where n is the number of Bernoulli trials, and
p is the probabil
ECE302
Problem Set 11
For Dec. 2nd and 5th 2016
Fall 2016
Comment: This problem can be done in two ways: via the CDF and by first conditioning on Y = y and then
averaging over Y. Try to do it both way
Kostas Plataniotis Summary
Section 2.2. pp. 2141
1. Axioms of probability
2. Discrete sample space
3. Continuous sample space Probabilistic Model
Sample space [2
Probability law: assigns to an eve