Download Bernoulli random variables, also called indicator - STAT-LLC

Survey
yes no Was this document useful for you?
   Thank you for your participation!

* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project

Document related concepts
no text concepts found
Transcript
Bernoulli random variables, also called indicator random variables.
Take on only two values, namely, 0 or 1. We say X is Bernoulli(p) random variable if
X = 1 with probability p and X = 0 with probability q = 1 − p.
Expected value
E(X) = 1P (X = 1) + 0P (X = 0) = P (X = 1) = p
Variance
Var(X) = E(X 2 ) − (E(X))2 = p − p2 = p(1 − p) = pq.
Note that X 2 = X always (when X is Bernoulli). Why? If X = 1 then X 2 = 1 too. If
X = 0 then X 2 = 0 too. So E(X 2 ) = E(X) = p.
In general, if X is Bernoulli, then X j = X for any positive integer j. Why? If X = 1
then X j = 1 too. If X = 0 then X j = 0 too.
1
Related documents