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Sample mean

x = ( Σ xi ) / n

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Sample standard deviation

s = sqrt [ Σ ( xi - x )2 / ( n - 1 ) ]

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Pooled sample standard error

s pooled = sqrt [ (n1 - 1) ** s12 + (n2 - 1) ** s22 ] / (n1 + n2 - 2) ]

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Simple linear regression line

ŷ = b0 + b1x

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Regression coefficient

b1 = Σ [ (xi - x) (yi - y) ] / Σ [ (xi - x)2]

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Regression slope intercept

b0 = y - b1 * x

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Sample correlation coefficient

r = [ 1 / (n - 1) ] ** Σ { [ (xi - x) / sx ] ** [ (yi - y) / sy ] }

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Standard error of regression slope

sb1 = sqrt [ Σ(yi - ŷi)2 / (n - 2) ] / sqrt [ Σ(xi - x)2 ]

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Rule of addition

P(A ∪ B) = P(A) + P(B) - P(A ∩ B)

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Rule of multiplication

P(A ∩ B) = P(A) P(B|A)

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Expected value of X

E(X) = μx = Σ [ xi * P(xi) ]

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Variance of X

σ2 = Σ [ xi - E(x) ]2 ** P(xi) = Σ [ xi - μx ]2 ** P(xi)

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