How to Calculate the Mean, or Expected Value, of a Continuous Random Variable

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  • Опубликовано: 6 янв 2018
  • Learn how to calculate the Mean, a.k.a Expected Value, of a continuous random variable. We define the formula as well as see how to use it with a worked example, using a a continuous random variable and its probability density function.
    See notes and exercises at the following link:
    radfordmathematics.com/probabi...

Комментарии • 26

  • @RadfordMathematics
    @RadfordMathematics  2 года назад +7

    Sorry for using seconds as a unit!!! Should have used MINUTES 😊. Won’t change anything to the calculations though! Hope it helps!!
    (Just imagine I said minutes throughout!)

  • @sunxiyana2442
    @sunxiyana2442 3 года назад +13

    Most courses dont give you a solved example. The best explanation on youtube. Thanks.

    • @RadfordMathematics
      @RadfordMathematics  3 года назад

      Thanks for taking the time to comment and for your kind words Sun! I really appreciate it 😊
      Truly glad it helped !
      Take good care 😊

  • @emittyarts
    @emittyarts 3 месяца назад +1

    You rock it Sir. Clear explanation and straightforward. You've earned a sub

    • @RadfordMathematics
      @RadfordMathematics  3 месяца назад

      Thanks for your comment and your sub!!
      Really glad this video helped 😊

  • @danishmehboob3883
    @danishmehboob3883 10 месяцев назад +2

    I recommend this video to my classmates.
    Very helpful Sir

    • @RadfordMathematics
      @RadfordMathematics  10 месяцев назад

      Thanks ever so much 😊
      I’m truly glad this video helped!!

  • @deviant8202
    @deviant8202 2 года назад

    Well explained

  • @sally9193
    @sally9193 2 года назад +3

    That actually helped a lot, thank you so much!

    • @RadfordMathematics
      @RadfordMathematics  2 года назад

      Thanks for your comment Sally 😊
      I’m truly glad this video helped!
      On thé sale topic you may be interested in my online notes/videos/worked examples on that topic :
      www.radfordmathematics.com/probabilities-and-statistics/continuous-probability-distributions/parameters-continuous-random-variables/parameters-continuous-random-variables.html
      Take good care ✌️

  • @alreadyghosts7727
    @alreadyghosts7727 2 года назад

    THANK YOU !!!!!

  • @torinrhodge8190
    @torinrhodge8190 3 года назад +1

    very helpful and clear explanation. thank you.

    • @RadfordMathematics
      @RadfordMathematics  3 года назад

      Thanks for taking the time to write your comment Torin, I really appreciate it 😊
      Truly glad the video helped!!
      Take good care ✌️

  • @oloruntobilobakolawole4683
    @oloruntobilobakolawole4683 3 года назад +1

    So insightful and helpful, I just subscribed. What if the pdf is ce^(x) how do I calculate that?

  • @user-kb9sn5dk7s
    @user-kb9sn5dk7s 4 месяца назад

    thanks

  • @antoniobanderas5316
    @antoniobanderas5316 22 дня назад

    So, for discrete they are not the same thing, but for continuous they are the same thing. Good to know.

  • @yibetesfe291
    @yibetesfe291 2 года назад

    It is good

  • @narendraparmar1631
    @narendraparmar1631 4 месяца назад +1

    Helpful, Thanks

  • @user-oc3bs6zo6i
    @user-oc3bs6zo6i 5 месяцев назад

    cool

  • @TrangNguyen-lv3vn
    @TrangNguyen-lv3vn Год назад

    why it is x^4/4? tks in advance

    • @derp3044
      @derp3044 2 месяца назад

      reverse power rule

  • @dannysfavs4122
    @dannysfavs4122 Год назад

    I got 1

  • @coronapocalypsenow3804
    @coronapocalypsenow3804 2 года назад

    1.5 seconds to reheat a cup of coffee is pretty impressive. You may want to check your figures.

    • @w0nnafight
      @w0nnafight Год назад

      it heats up faster if it was hot before

    • @TonyDaExpert
      @TonyDaExpert 8 месяцев назад

      Theorists be like