stat 390 - continuous random variable distribution

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Statistics

(T/F) cdfs are the derivatives of pdfs

F - they are the antiderivatives

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(T/F) pdfs are the derivatives of cdfs

T - they are the derivatives

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probability density function (pdf)

a graph / equation representing probabilities for a continuous random variable

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cumulative distribution function (cdf)

a graph / equation representing the sum of probabilities for a continuous random variable

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how to find cdf from pdf

integrate pdf

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how to find pdf from cdf

derive cdf

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expectation of a continuous random variable (E[X])

= ∫ x*f(x)dx
- bounds typically given

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