Probability Equations/Terms

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22 Terms

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empirical probability

comes from the long-run relative frequency of the event’s occurrence

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theoretical probability

comes from a model

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personal probability

subjective and represents personal degree of belief

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law of large numbers

as the number of trials increases, the probability gets closer to a single number

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law of averages

untrue belief that if an outcome hasn’t occurred for a while, it should occur soon

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addition rule (must be disjoint)

P(A ∪ B)

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multiplication rule (must be independent)

P(A ∩ B)

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multiplication rule

P(A) Ɨ P(B|A)

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addition rule

P(A) + P(B) - P(A ∩ B)

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independence

P(B|A) = P(B)

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mean

μ

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variance

σ²

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standard deviation

σ

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E(X ± c)

E(X) ± c

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var(X ± c)

var(X)

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SD(X ± c)

SD(X)

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E(aX)

a Ɨ E(X)

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var(aX)

a² Ɨ var(X)

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SD(aX)

√var(aX)

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E(X ± Y)

E(X) ± E(Y)

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var(X ± Y)

var(X) + var(Y)

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SD(X ± Y)

√var(X + Y)