Meaning of Independent Identically distributed random variables

Join the discussion
Registration is free. Ask a follow-up in this thread, or start your own.
3 replies · 3K views
dionysian
Messages
51
Reaction score
1
I am a little fuzzy on the meaning of Independent Identically distributed random variables. I understand the independent part but still not 100% on the identically distributed part. I understand that identically distributed means they have the same pdf and cdf but does this mean that they have the same mean and variance?

For example if i have a sequence of random variables: N(0,1),N(2,4),N(3,5) and they are all independent are they IID?
 
Physics news on Phys.org


If they have the same pdf, then they by definition have the same mean and variance.
 


For example if i have a sequence of random variables: N(0,1),N(2,4),N(3,5) and they are all independent are they IID?
They are all normal, but since the parameters are different, the distribution functions are different. (Not IID, only I).
 
Last edited: