what's the difference between pmf and cdf?
I am asked to graph cdf of X but it would be same as P(X=0) P(X=1) and etc? or I need to draw like P(X>0) and P(X>1) and etc?
while you are at that,what's pdf?
portable document format, but im asking about pmf and cdf not pdf and cdf lol
probability mass function and cumulative distribution function
if \(X\) is a discrete r.v. then the pmf of \(x\) is \(P(X=x)\) the CDF of \(X\) is \(P(X\le x)\)
pmf of \(X\) is...
if i have defined x of 1, 2 and so on with probability and im asked is cdf defined for x=1.9? should i just make approximation from graph? or answer no?
\[F_{X}(x)=P(X\le x)\] \[F_{X}(1.9)=P(X\le 1.9)=P(X\le 1)\]
note that all CFD's are right continuous...so it has to be defined everywhere
* CDF's
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