PDF #1 (Deriving Cumulative Distribution Function from Probability Density Function)

Поділитися
Вставка
  • Опубліковано 22 жов 2024

КОМЕНТАРІ • 27

  • @ryanjanson1691
    @ryanjanson1691 4 роки тому +1

    You're the man! Thanks for the very straightforward explanation.

  • @amimoj77
    @amimoj77 12 років тому

    Very helpful presentation. It makes reading a little more easy. Thanks. Jackson

  • @halhauder79
    @halhauder79 11 років тому

    you are amazing man. please make more videos . you saved my from giving up my stats course . thanks you so much. more videos please . thanks so much

  • @havalsadiq3655
    @havalsadiq3655 12 років тому

    An outstanding explanation for CDF an PDF

  • @galinrizov
    @galinrizov 13 років тому

    Excellent ! Love it ...good job mate !!! very helpful my professor can't explain it as good as you

  • @cc-ty8964
    @cc-ty8964 11 років тому

    Thank you so much! These videos helped me a lot

  • @Liminal212
    @Liminal212 10 років тому

    this is great.
    one observation: on the last part i think there' s a type = it should be (to the 6th power) instead of 5 (to the 5th power?)

    • @ignaciohernan1
      @ignaciohernan1 10 років тому

      I know it's been a long time since you posted but to clarify he used .5 since all those values used for years are the integer 1,2,...n. Therefore .5 = 6 months

  • @CyrusPieris
    @CyrusPieris 12 років тому

    Very useful thanks

  • @horaciosalgado
    @horaciosalgado 11 років тому

    great video. I never write rate or post anything on youtube but I couldn't help myself

  • @Evilhunknextdoor
    @Evilhunknextdoor 8 років тому

    Very helpful, thank you.

  • @PeterGeras
    @PeterGeras 12 років тому

    Cheers this was really helpful.

  • @adnankarim7339
    @adnankarim7339 11 років тому

    You draw a brace (them big bracket thingys like that { ) then write the inequalities and the cdf

  • @alyradia
    @alyradia 11 років тому

    how do you lay it out after you get the cdf. Like how do you write the cdf.

  • @bezzer1185
    @bezzer1185 13 років тому

    wow crystal clear. amazing! ty!

  • @redemption543
    @redemption543 10 років тому +2

    Am I the only one getting 39.3% for P(X

    • @charlesoloolumbwa481
      @charlesoloolumbwa481 9 років тому

      me too but the video is comprehensive

    • @nguginjau5871
      @nguginjau5871 8 років тому

      +John Griffin Yeah, i'm also getting that. The explanation is good though.

  • @RivalFan38
    @RivalFan38 12 років тому

    one minor comment - the probability of a shark attack between year 2 and year 4r is NOT 11%. This is the probability that the next shark attack (from now), will occur in that interval. T

  • @KA-du7vm
    @KA-du7vm 10 років тому +1

    can someone explain the limits of integration used here...

    • @Kiljaedan13
      @Kiljaedan13 9 років тому

      Little late lol, but when you define a pdf, you define it as a piecewise, like X = e^x, 1 < x < 2 and then 0 otherwise. So when you take the limit of -infinity you get 0 because of how you define the pdf.

  • @9BoStOnGeOrGe
    @9BoStOnGeOrGe 10 років тому

    why does he just assume the rate of shark attacks is once per year?

    • @kenanofify
      @kenanofify 9 років тому

      This is just an example, he could have some data which provided that probability density function

  • @dbapple
    @dbapple 13 років тому

    I could read it in a book) could you explain more simpler?))

  • @stepbil
    @stepbil  13 років тому

    for more clear i would have to charge... .

  • @daniyal241585
    @daniyal241585 11 років тому +1

    2 hour lecture in 10 min