A function of an outcome, X = f(x).
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b.

Variables whose range is finite or countable.
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c.

The distribution where the random variable has only two possible outcomes.
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d.

Variables that assume an interval of values.
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e.

A variable described as the number of successes in a sequence of Independent Bernoulli Trials.
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f.

The number of rare events occurring within a fixed period of time.
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g.

Collection of all probabilities where P(x) = P{X = x}.
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h.

Collection of all probabilities where P(x) = P{X ≤ x}.
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i.

Distribution with standard parameters, μ = 0 and σ = 1.
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j.

The mean of the random variable X.
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k.

The sampling distribution of the sample of means approaches a normal distribution as the sample size gets larger (n > 30).
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l.

Computer simulations involving random numbers.