Term
|
Definition
Variable whose value is a numerical outcome of a random phenomenon. |
|
|
Term
Discrete Random Variable (DRV) |
|
Definition
Has a countable number of possible values. |
|
|
Term
Probability Distribution (DRV) |
|
Definition
Lists the values and their probabilities of a discrete random variable X. |
|
|
Term
|
Definition
Compares the probability model for random digits with the model given by Benford's law. The height of each bar shows the probability of the outcome at its base. Because the heights are probabilities, they add to 1. |
|
|
Term
Continuous Random Variable (CRV) |
|
Definition
Takes all values in an interval of numbers. |
|
|
Term
Probability Distribution (CRV) |
|
Definition
Described by a density curve. The probability of any event is the area under the density curve and above the values of X that make up the event. |
|
|
Term
All continuous probability distributions assign probability 0 to every individual outcome. |
|
Definition
|
|
Term
Mean of Discrete Random Variable |
|
Definition
Multiply each possible value by its probability, then add all of the products
μX = x1p1 + x2p2 + … + xkpk = ∑xipi |
|
|
Term
|
Definition
If X is a random variable and a and b are fixed numbers, then μa+bX = a + bμX |
|
|
Term
|
Definition
If X and Y are random variables, then μX+Y = μX + μY |
|
|