Transforming discrete random probabilities
Let’s say we have a discrete random variable, called X, and we know that
there is another DRV which we can write as Y=aX+b - where a and b are
constants.
If we know the expected value for X, as well as its variance, then we can
also find the expected value and variance of Y!
Finding E(X)
E(Y)=aE(X)+b
See discrete random expectation transformation for an explanation.
Finding Var(X)
Var(Y)=a^2Var(X)
See discrete random variance transformation for an explanation.
| Question | Answer |
| What is the relationship between the expected values of Y and X when Y = aX + b? | E(Y) = aE(X) + b |
| What is the relationship between the variance of Y and the variance of X when Y = aX + b? | Var(Y) = a^2 Var(X) |
| Given a discrete random variable Y = aX + b, what is the formula to find E(Y) if E(X) is known? | E(Y) = aE(X) + b |
| Given a discrete random variable Y = aX + b, what is the formula to find Var(Y) if Var(X) is known? | Var(Y) = a^2 Var(X) |
Inlinks
pageindex
discrete random uniform distribution
Outlinks
discrete random variable
flashcards
discrete random expectation transformation
variance
discrete random variance transformation