Chapter 15: Random Variables Flashcards
Random Variables
Numerical outcomes of random behavior
Discrete Random Variable
Can only take on a countable number of values
Continuous Random Variable
Can take on an infinite number of values in an interval on a number line
Probability Distribution
A display of the entire set of values with associated probability
Multiplying Or Dividing Random Variables By A Constant c
- μ multiply/divide by c
- σ multiply/divide by c
- Shape remains the same
- σ^2 (Variance) multiply/divide by c^2
Adding Or Subtracting Random Variables By A Constant c
- Mean or median add/subtract by c
- Spread/variability remains the same
- Shape remains the same
Adding Or Subtracting Random Variables
Z=X+Y:
1. μZ=μX+μY
2. σZ=squareroot[(σX)^2+(σY)^2]
Z=X-Y:
1. μZ=μX-μY
2. σZ=squareroot[(σX)^2+(σY)^2]
Linear Combinations
For any two random variables X and Y, and real numbers a and b, the expression aX+bY is called a linear combination of X and Y
Mean=aμX+bμY
Standard Deviation: squareroot{[a^2(σX)^2]+[b^2(σY)^2]}