Probabilistic Systems Analysis and Applied Probability

Lecture 8: Continuous Random Variables

« Previous | Next »

Lecture Topics

Probability density functions Cumulative distribution functions Normal random variables

Lecture Activities

• Watch the Lecture 8: Continuous Random Variables Video by Prof. Tsitsiklis (00:50:29)
• Review the Lecture 8: Continuous Random Variables Slides (PDF)
• Read Sections 3.1–3.3 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. Three of the problems have an accompanying video where a teaching assistant solves the same problem.

• Recitation 8 Problems (PDF)
• Recitation 8 Solutions (PDF)

Recitation Help Videos

PROBLEM #	PROBLEM TITLE	PROBLEM SOLVED BY
1	Calculating a Cumulative Distribution Function (CDF)	Jimmy Li
2	A Mixed Distribution Example	Jagdish Ramakrishnan
3	Mean and Variance of the Exponential	Jagdish Ramakrishnan

Tutorial Problems and Tutorial Help Videos

Review the tutorial problems in the PDF file below and try to solve them on your own. One of the problems has an accompanying video where a teaching assistant solves the same problem.

• Tutorial 4 Problems (PDF) Do ONLY problem 1
• Tutorial 4 Solutions (PDF)

Tutorial Help Videos

PROBLEM #	PROBLEM TITLE	PROBLEM SOLVED BY
1	Normal Probability Calculation	Jagdish Ramakrishnan

« Previous | Next »