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From: ExamSolutions
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  • so nice its was very helpful .................

  • I understand that, kind of, but i have trouble transfering this to other questions. Do you have more? The one i'm doing now has an x on the first function too, so it's not working for this question what you're doing there.

  • Hey the video was good and really helpful, but i am having some problem in converting  pmf into cdf . How to we convert these discrete functions into cdf's? hope you can help me out with this .

  • In terms of whether using less/greater than or equal to, or less/greater than, do you just following the original f(x)? Cause I'm having trouble understanding how to know which one you should use

  • @julieetran follow the original f(x)

  • why is it that the llimit is x and 1? isnt it 1 and 2 because its also =?

    

  • is the last answer must be 1??

  • @sonicheroin yes

  • can you please explain why F(x)=1/4*x for 0<=x<1 instead of F(x)=1/4 ?

  • @The1000ankit You integrate 1/4 from 0 to x, so you would get 1/4(x-0) = 1/4x. the basic formula for CDF is integral of fx(t) dt over the range from - infinity to x where fx(t) is probability of density function. You can kindda say CDF is Fx(x) accumulates probability from the initial point up to a value x. CDF can be used to described both discrete and continuous random variables that's why it's convenient to use it.

  • @vincentcold thanks it helps,,

  • Again, well done! Concise and easy to follow. Cannot thank you enough.

  • Thank you! It was very helpful! :)

  • i don't understand the last part with F(X) = 1 when x>=2???? please explain

  • @choiduck Look at it like this, suppose you have a normal fair die. What are the cances of getting a number less than or equal to 7 say. Guaranteed so the probability is 1. F(X) = 1

  • @ExamSolutions Thank you so much! Wasn't my question asked, but I definitely hunted all over Google for this exact explanation. Great video!!

  • ooooooh, so this is what my textbook's trying to tell me

  • Sorry, but its not clear for me why do we have to add that "extra bit" on? That area (1/4) does not belong to the interval [1;2]. It is between 0 and 1. Could you explain why do u add it?

  • @MissAyagoz Cumulative probability is the probability of being less than x which must include all area to the left of x which includes all the rectangle and part of the curve when x lise between 1 and 2

  • I am arabic person but I understand the fu******king whole thing..

    thanks alot ..plz keep going

  • what happens if the intervals do not perfectly fit together.. eg. 1/4 when 0 <= x < 1 and x^3/5 when 2 <= x < 3? wat do you put when x takes a value between 1 and 2? is it just 0 ?( if assumed 0 otherwise). What I was thinking is that you would use the cumulative rule and take integral of 0 + 1/4 when 1 <= x < 2 but I am not sure if this is correct.

  • You sound like Paul Bettany

  • 0.o Didn´t understand anything.. Maybe cause i´m norwegian..

  • Do you add the extra rectangle on because it's a cumulative function? :)

  • @DizzyMartian yes

  • DUDE, u r the reason i'm gna pass!!!

  • @ribenaholic Hope you do. Let me know.

  • keep up the good work u and Khanacademy are really helping me make university a breeze.

    Eternally Grateful. Maybe in the future i will help ppl out like you 2 do.

  • @chrisrock1990 Thank you for your support

  • Hey. This is great stuff. I'm a TA in statistics. I was just wandering if I'm allowed to put this link on my homepage so my students could see it?

    cheers

  • @youartoyube Yes, that is fine.

  • This was really useful, thanks :)

  • @milescend Pleasure

  • your work is excellent!It helped me a lot!

  • @KostasA89 Thank you

  • hellooo can u guess plz hlp in thz one.....the discrete random variable has c.d.f F(x) defined b F(X)=2+x/7;x=1,2,3,4,5....find­ probablty distribution for X ..............ans is 3/7,1/7,1/7,1/7,1/7.....anyone can plzzzzzz explain it how...........

  • hellooo can u guess plz hlp in thz one.....the discrete random variable has c.d.f F(x) defined b F(X)=2+x/7;x=1,2,3,4,5....find probablty distribution for X ..............ans is 3/7,1/7,1/7,1/7,1/7.....anyone can plzzzzzz explain it how....

  • I probably would have missed it out too! Thanks!

  • good stuff

    thanks man

  • @Bugatti360 Thanks mate

  • what if X is discrete?

    how do you find the cumulative distr. function then?

  • @mauroprovatos If it is dicrete the probabilities are given in a table. Just add each probability up. So if P(X=0) = 0.1, P(X=1) = 0.3, P(X=2) = 0.6 then the cuymulative distribution function F(X) is given by F(X=0) = 0.1, F(X=1) = 0.1 + 0.3 = 0.4, F(X=2) = 0.1 + 0.3 +0.6 = 1. Hope that helps?

  • @ExamSolutions yeap, it sure does.

    Thank you very much.

  • @ExamSolutions but what if the discr. variable values are given through a function?

    Can you derive the cumulative?

    Because the values of X are countably infinite

  • thanku

    

  • @Raghunandan419 Nice to hear that it helped - thanks.

  • Thanks!! It was very helpful.

  • Thanks a million for the video, great explanation, u just saved me.

  • @marxyification Cool!

  • So basically, you always use the lower bound on the next new range past the previous function? I think that would be the universal interpretation of this aid correct?

  • you are awesome!!! awesome explanation, voice and handwriting lol. THANK YOU

  • @Desalicious90 Steady on but thanks.

  • Another great video

  • @th2 Thank you for your continued praise

  • i just want to say thank you very much, this was very helpful! i was kinda stuck on why the upper limit you used x, but i read the comments and understood. thank you again.

  • Love the video, very helpful unlike my droning college professor. However, at around the 8 minute mark when you are defining the CDF, shouldn't it be for x is less than zero = 0 as opposed to x is less than or equal to?

  • I know what you mean and this is always a point for debate.

  • @boyd1876 that what I was thinking also

  • I went to this video to help me answer this exact same question was stuck on!! Thanks you very much!!

  • when finding x more or equal then 1 and less or equal than 2 why have to include the rectangle?? i thought it only include the curve area??

  • Cumulative probability is the probability of being less than x which must include all area to the left of x which includes all the rectangle and part of the curve when x lise between 1 and 2

  • Always integrate from the lower limit to x so that you get the area to the left of x in otherwords the probability of being less than x.

  • because this would give you the probability of being less than 2 which would equal 1 and secondly you need to the probability of being less than any general value x.

    Hope that helps?

  • I love your approach and that accent ;)

    This has seriously helped me gain some confidence in my probability class

  • Thanks

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