in last example, when you say X is the "sum of the pair even" then doesn't it make the support of RV only 18 instead of 36. Then we can say the sum of Pi is 1. I am confused
Sir in ur example u described map as sum is even no., but it not possible bcoz in a fun image of each member of domain will be in codomain, then what about those elts of domain whose sum is an odd no????
Given any function X will be random variable or not it's depend on underlying Sigma field. Here we are not talking about Sigma fields just taking some real values corresponding to each Sample Space point
Thank you for your nice presentation!!!
CLEARED MY BASIC CONCEPTS.
My pleasure. Keep watching other videos
Poisson Distribution - 3 Step rules to compute the probability. Kindly Watch
th-cam.com/video/bHdR2kVW7Fk/w-d-xo.html
in last example, when you say X is the "sum of the pair even" then doesn't it make the support of RV only 18 instead of 36. Then we can say the sum of Pi is 1. I am confused
Sir what is the meaning of "countably infinite ser of values??
And why p1 is 0?
Excellent sir 👌
Helpful sir👏
nice lecture prof.
super explanation sir
Sir in ur example u described map as sum is even no., but it not possible bcoz in a fun image of each member of domain will be in codomain, then what about those elts of domain whose sum is an odd no????
Simplified explanation of complex random variable
Thanks... Very soon... will upload the new video.
Excellent
could u pls share the slides in description??
Given any function X will be random variable or not it's depend on underlying Sigma field. Here we are not talking about Sigma fields just taking some real values corresponding to each Sample Space point
I mean how are sure that X is random variable.
And also probability distribution function is sum of all the probabilities of events till x
Means P(X
I think here we are taking Sigma field as power set of Sample space.
Excellent
Poisson Distribution - 3 Step rules to compute the probability. Kindly Watch
th-cam.com/video/bHdR2kVW7Fk/w-d-xo.html