The range of the absolute value of x is [0.4] and the probability density function is uniform. So use the expectation formula then you get E(X)=2 ((from 0 to 4, use f(|x|)=1/4 as a pdf)). This is what I understood..
I do not understand how it works with small a. for example, if E(X) is 4, and I want the probability that x exceeds 2. according to this formula it is smaller than 4/2 which is 2?! I know that! I even know that the probability is
woooooooooooowwwwwwwwwwwwww!!!! adbhutttttttt ......... amazing explanation. Taaliya bajti rehni chahiye. love u , u r my best friend.
this is really clear !! thank you mit
Holy moly! That was amazing! Thank you so much!!
MIT rocks!!
Well explained and simple to understand. Thank you!
best course ever
A very clear explanation with examples in 10 minutes. Thank you!
Thank you, professor!
Efcharistó polý Professor Tsitsiklis
λεω σαν Ελληνας ακουγεται... και μετα κοιταω κατω στην περιγραφή και βγαινω σωστος :p Ευχαριστούμε!!!
χαχαχαχχχχαχαχα και εγω
I believe there's a mistake at 9:45. That should be 2, not 1/2.
No, 1/2 is correct.
No wonder I can't get into MIT
brilliant
For exponential distribution isn’t the distribution function P(X=a) also e^(-a)?
True value is calculated for P(X=a)
@@thisistruth01 Thank you
Because the specification of the example he presented is exponential within lambda =1. Ηope this helps.
how did you calculate the expected value of the absolute of x?
The range of the absolute value of x is [0.4] and the probability density function is uniform. So use the expectation formula then you get E(X)=2 ((from 0 to 4, use f(|x|)=1/4 as a pdf)). This is what I understood..
this was awesome!
thank youuuuuuuu
what is E[X] here?
great video thanks
3:50
I do not understand how it works with small a. for example, if E(X) is 4, and I want the probability that x exceeds 2. according to this formula it is smaller than 4/2 which is 2?! I know that! I even know that the probability is
It’s hard to understand u