# probability

## 8 terms

### characteristics of a probability distribution

1. the probability of a particular outcome is between 0 and 1 inclusive. 2. the outomes are mutually exclusive events. 3. the list is exhaustive so the sum of probabilities of the various events is equal to one.

### discrete random variable

it can assume only certain clearly separated values. it is usually the result of counting something

### continuous random variable

can assume an infinite number of values within a given range. it is usually the result of some type of measurement.

### features of a discrete distribution

1. the sum of probabilities of the various outcomes is 1. 2. the probability of a particular outcome is between 0 and 1. 3. the outcomes are mutually exclusive.

### define mean

a mean is a typical value used to represent the central location of a probability distribution. it is also referred to as its expected value (U = E[xP(x)])

U = E(xP(x)]

(x-U)2 P(x)

### define standard variance

measures the amount of spread in a distribution

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