Discrete Random Variables

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Statistics

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9 Terms

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Discrete Random Variable

A numerical value assigned to each outcome of a random experiment.

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Probability Distribution

A listing or function indicating the probability that a random variable X takes on each of its possible values.

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Mean (E[X] or µ)

The weighted average of the possible values of a random variable, calculated using the probabilities as weights.

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Variance (σ²)

A measure of the variability of a probability distribution, calculated as the expected value of the squared differences from the mean.

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Standard Deviation (σ)

The square root of the variance, representing the average distance of each random variable value from the mean.

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Total Probability Rule

The sum of the probabilities of all possible outcomes of a random variable must equal one.

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Example of Coin Flips

A classic example used to illustrate discrete random variables, where the outcomes depend on the number of heads when flipping coins.

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Risk Assessment in Games

Evaluating which game has higher variability in outcomes, indicated by the standard deviation.

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Weights in Probability

The probabilities used to weight the average calculations for mean and variance in a probability distribution.