Terms about distributions: PDF, PMF and CDF

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Uploaded by on Apr 8, 2008

Distributions characterize random variables. Random variables are either discrete (PMF) or continuous (PDF). About these distributions, we can ask either an "equal to" (PDF/PMF) question or a "less than" question (CDF). But all distributions have the same job: characterize the random variable.

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Uploader Comments (bionicturtledotcom)

  • thnx a lot...well explained !

  • @akarshajith Thanks (back in the day when i introduced each video with cheesy music!)

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  • try turning on your speakers, if that doesn't work go to an ear doctor

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  • amazing video

  • this was insanely helpful, thanks!

  • Thanks a lot! great lesson

  • you explain very clear, but i have problem with pmf (probability mass function), how do i calculate the frequency of each toss using an efficient algorithm? calculating manually on the frequency of 2 or more dice (total sum) would be really difficult

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