Probability Distribution Functions (PMF, PDF, CDF) | Crypto Casino Wins

30 thoughts on “Probability Distribution Functions (PMF, PDF, CDF)

  • January 27, 2023 at 1:25 pm
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    "you cant roll a 7 on any dice I've seen" I see someone who has never played D&D before
    . Thank for the video btw.

  • January 27, 2023 at 1:25 pm
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    Great video – thank you!

  • January 27, 2023 at 1:25 pm
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    Thanks for the video. Beautifully explained.

  • January 27, 2023 at 1:25 pm
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    this was great

  • January 27, 2023 at 1:25 pm
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    absolutely amazing

  • January 27, 2023 at 1:25 pm
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    Thanks!

  • January 27, 2023 at 1:25 pm
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    ♥️♥️

  • January 27, 2023 at 1:25 pm
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    Thank You😁

  • January 27, 2023 at 1:25 pm
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    one of the best explanations of PDFs on the internet 🤩🤩

  • January 27, 2023 at 1:25 pm
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    Thanks!

  • January 27, 2023 at 1:25 pm
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    thanks

  • January 27, 2023 at 1:25 pm
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    Best explanation make more vdos

  • January 27, 2023 at 1:25 pm
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    This is awesome

  • January 27, 2023 at 1:25 pm
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    Awesome video!

  • January 27, 2023 at 1:25 pm
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    You're one of the best teachers sir…..

  • January 27, 2023 at 1:25 pm
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    1:00 pmf

    1:051:10
    which is just a simple way of saying the probability of each discrete outcome

    1:151:24
    pdf which we use for continuous variables

    1:371:44
    now be careful about pdf because I have called this whole video probability distribution functions

    1:441:53
    some people might call all(inclued pmf ,pdf ,cdf) of these together as pdf which does get a bit confusing

    1:542:02
    i use pdf to mean the probability density function which relates solely to continuous variables

    2:092:23 now both discrete and continuous variables can construct what is called a cumulative function

  • January 27, 2023 at 1:25 pm
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    Masterpiece.

  • January 27, 2023 at 1:25 pm
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    Dear Mr. Justin
    I need your help and would you make a video on : Stochastic Processes: Definition and property of poison Process and Exponential Distribution, Computing exponentials, Renewal Process Results and Markov Chain Results

  • January 27, 2023 at 1:25 pm
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    Very clear and nice explanation. Thank You.

  • January 27, 2023 at 1:25 pm
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    Best video which I wanted thanks sir , take love ❤

  • January 27, 2023 at 1:25 pm
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    Need a full course on statistics from this man

  • January 27, 2023 at 1:25 pm
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    Nice video sir zedstatistics!

  • January 27, 2023 at 1:25 pm
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    Really helpful! appreciate for distinguishing those buzzing term with clear graph

  • January 27, 2023 at 1:25 pm
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    thanks gangsta

  • January 27, 2023 at 1:25 pm
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    Bolna to seekh le

  • January 27, 2023 at 1:25 pm
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    You are the best❤

  • January 27, 2023 at 1:25 pm
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    Taking a data science class. This video came in handy and made understanding as easy as ABC

  • January 27, 2023 at 1:25 pm
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    I am an engineer in the domain of signal and system and trying to learn about estimation theory. It was giving me headache. You r a life savior……..lots of admiration and love from India

  • January 27, 2023 at 1:25 pm
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    Thank you for this video.

  • January 27, 2023 at 1:25 pm
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    Can you please make a series on optimizing convex problems, lagrangian dual/primal problems, etc….

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