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Concept · from MIT 6.041SC Probabilistic Systems Analysis and Applied Probability

Discrete Random Variable Examples; Joint PMFs

About these materials

MIT's own material for this topic, in MIT's order: Lecture 6: Discrete Random Variable Examples; Joint PMFs.

Source: MIT OpenCourseWare 6.041SC Probabilistic Systems Analysis and Applied Probability, Fall 2013, Prof. John Tsitsiklis — original course page on ocw.mit.edu ↗. License: CC BY-NC-SA 4.0. Order: the items appear in the order MIT's own session page lists them. Taken from MIT's published course files, downloaded from ocw.mit.edu on September 23, 2026. How RedLectern is built.

MIT's session, in MIT's order

MIT 6.041SC · Unit I: Probability Models And Discrete Random Variables · This session on MIT OpenCourseWare ↗

Lecture Topics

  1. Lecture 6: Discrete Random Variable Examples; Joint PMFs VideoLecture video · transcript Watch

Lecture Topics · Recitation Help Videos

  1. Flipping a Coin a Random Number of TimesProblem-solving video Watch
  2. Joint Probability Mass Function (PMF) Drill 1Problem-solving video Watch

Lecture Topics · Tutorial Help Videos

  1. The Coupon Collector ProblemProblem-solving video Watch

Where this sits in MIT 6.041SC

Open this session in the full course 6.041SC Probabilistic Systems Analysis and Applied Probability: all units →

MIT OpenCourseWare, Prof. John Tsitsiklis, 6.041SC Probabilistic Systems Analysis and Applied Probability, Fall 2013.

License: CC BY-NC-SA 4.0 · Edition: Fall 2013 · Open the original course on OCW ↗

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