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
@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.
@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
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
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.
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....
@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?
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?
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?
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
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.
so nice its was very helpful .................
rahul89dot 1 week ago
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.
TheCornerKebab 4 weeks ago
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 .
mrmaaza123 1 month ago
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 1 month ago
@julieetran follow the original f(x)
ExamSolutions 1 month ago
why is it that the llimit is x and 1? isnt it 1 and 2 because its also =?
TheXAER0 1 month ago
is the last answer must be 1??
sonicheroin 2 months ago
@sonicheroin yes
ExamSolutions 2 months ago
can you please explain why F(x)=1/4*x for 0<=x<1 instead of F(x)=1/4 ?
The1000ankit 3 months ago
@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 3 months ago
@vincentcold thanks it helps,,
The1000ankit 2 months ago
Again, well done! Concise and easy to follow. Cannot thank you enough.
4216Mickster 3 months ago
Thank you! It was very helpful! :)
mysky1 4 months ago
i don't understand the last part with F(X) = 1 when x>=2???? please explain
choiduck 4 months ago
@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 4 months ago 2
@ExamSolutions Thank you so much! Wasn't my question asked, but I definitely hunted all over Google for this exact explanation. Great video!!
813queenPearl 4 months ago
ooooooh, so this is what my textbook's trying to tell me
halovir 5 months ago
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 7 months ago
@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
ExamSolutions 7 months ago 2
I am arabic person but I understand the fu******king whole thing..
thanks alot ..plz keep going
mss3331 7 months ago
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.
Morelloo1 7 months ago
You sound like Paul Bettany
andrum09 8 months ago
0.o Didn´t understand anything.. Maybe cause i´m norwegian..
tjura1 8 months ago
Do you add the extra rectangle on because it's a cumulative function? :)
DizzyMartian 9 months ago
@DizzyMartian yes
ExamSolutions 9 months ago
DUDE, u r the reason i'm gna pass!!!
ribenaholic 10 months ago
@ribenaholic Hope you do. Let me know.
ExamSolutions 10 months ago
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 10 months ago
@chrisrock1990 Thank you for your support
ExamSolutions 10 months ago
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 10 months ago
@youartoyube Yes, that is fine.
ExamSolutions 10 months ago
This was really useful, thanks :)
milescend 10 months ago
@milescend Pleasure
ExamSolutions 10 months ago
your work is excellent!It helped me a lot!
KostasA89 11 months ago
@KostasA89 Thank you
ExamSolutions 11 months ago
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...........
sajibratul 1 year ago
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....
sajibratul 1 year ago
I probably would have missed it out too! Thanks!
Managirl112 1 year ago
good stuff
thanks man
Bugatti360 1 year ago
@Bugatti360 Thanks mate
ExamSolutions 1 year ago
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cherhenniganlok 1 year ago
what if X is discrete?
how do you find the cumulative distr. function then?
mauroprovatos 1 year ago
@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 1 year ago
@ExamSolutions yeap, it sure does.
Thank you very much.
mauroprovatos 1 year ago
@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
mauroprovatos 1 year ago
thanku
Raghunandan419 1 year ago
@Raghunandan419 Nice to hear that it helped - thanks.
ExamSolutions 1 year ago
Thanks!! It was very helpful.
Mifune00 1 year ago
Thanks a million for the video, great explanation, u just saved me.
marxyification 1 year ago
@marxyification Cool!
ExamSolutions 1 year ago
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?
maccadiodrums 1 year ago
you are awesome!!! awesome explanation, voice and handwriting lol. THANK YOU
Desalicious90 1 year ago
@Desalicious90 Steady on but thanks.
ExamSolutions 1 year ago
Another great video
th2 1 year ago
@th2 Thank you for your continued praise
ExamSolutions 1 year ago
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.
Rand0mAsian 1 year ago
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?
boyd1876 1 year ago
I know what you mean and this is always a point for debate.
ExamSolutions 1 year ago
@boyd1876 that what I was thinking also
chawin30 1 year ago
I went to this video to help me answer this exact same question was stuck on!! Thanks you very much!!
3ej6 1 year ago
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??
lovescs 2 years ago
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
ExamSolutions 2 years ago
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.
ExamSolutions 2 years ago
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?
ExamSolutions 2 years ago
I love your approach and that accent ;)
This has seriously helped me gain some confidence in my probability class
hatimali04 2 years ago
Thanks
ExamSolutions 2 years ago