stat 390 - continuous random variable distribution
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7 Terms
1
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(T/F) cdfs are the derivatives of pdfs
F - they are the antiderivatives
2
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(T/F) pdfs are the derivatives of cdfs
T - they are the derivatives
3
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probability density function (pdf)
a graph / equation representing probabilities for a continuous random variable
4
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cumulative distribution function (cdf)
a graph / equation representing the sum of probabilities for a continuous random variable
5
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how to find cdf from pdf
integrate pdf
6
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how to find pdf from cdf
derive cdf
7
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expectation of a continuous random variable (E[X])
= ∫ x*f(x)dx
- bounds typically given
- bounds typically given
Note 
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