Lecture Topics

Lecture Activities
 Watch the Lecture 12: Iterated Expectations; Sum of a Random Number of Random Variables Video by Prof. Tsitsiklis (00:47:54)
 Review the Lecture 12: Iterated Expectations; Sum of a Random Number of Random Variables Slides (PDF)
 Read Section 4.3 and parts of Section 4.5 (mean and variance only; no transforms) in the textbook
Recitation Problems and Recitation Help Videos
Review the recitation problems in the PDF file below and try to solve them on your own. Two of the problems have an accompanying video where a teaching assistant solves the same problem.
Recitation Help Videos
PROBLEM #  PROBLEM TITLE  PROBLEM SOLVED BY 

2  The Variance in the Stick Breaking Problem  Jimmy Li 
3  Widgets and Crates  Jimmy Li 
Tutorial Problems and Tutorial Help Videos
Review the tutorial problems in the PDF file below and try to solve them on your own. Two of the problems have an accompanying video where a teaching assistant solves the same problem. There is also a bonus video solving a problem not represented in the tutorial problems.
 Tutorial 6 Problems (PDF) Do ONLY Problems 2 and 3
 Tutorial 6 Solutions (PDF)
 Bonus Video Problem (PDF) (Note: This is problem 4.27 in the course textbook)
 Bonus Video Solution (PDF)
Tutorial Help Videos
PROBLEM #  PROBLEM TITLE  PROBLEM SOLVED BY 

2  Using the Conditional Expectation and Variance  Katie Szeto 
3  A Random Number of Coin Flips  Katie Szeto 
Bonus Problem  A Coin with Random Bias  Jimmy Li 
Problem Set and Solutions
Work the problems on your own and check your answers when you’re done. Problem set 6 covers Lectures 10, 11, and 12.