STA213lecture9.beamer

STA213lecture9.beamer - Todays outline: pp 98-111 Examples...

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Today’s outline: pp 98-111 I Examples from HW/book I Continuous distributions: I Uniform I Gamma (and exponential and chi square) I Normal (Gaussian) I Beta I Cauchy I Lognormal I Double exponential Today we will finish the material for the midterm :-) Next class (Thursday) we will go through examples, and next Tuesday we will do a review and questions/answers.
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CONTINUOUS DISTRIBUTIONS
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Uniform continuous distribution A r.v. X is uniform on ( a , b ) if f X ( x ) = I { a < x < b } 1 b - a . What does that look like? I Mean
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Uniform continuous distribution A r.v. X is uniform on ( a , b ) if f X ( x ) = I { a < x < b } 1 b - a . What does that look like? I Mean a + b 2 , median
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Uniform continuous distribution A r.v. X is uniform on ( a , b ) if f X ( x ) = I { a < x < b } 1 b - a . What does that look like? I Mean a + b 2 , median a + b 2 . No unique mode! I Variance
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A r.v. X is uniform on ( a , b ) if f X ( x ) = I { a < x < b } 1 b - a . What does that look like?
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This note was uploaded on 01/16/2011 for the course STAT 213 taught by Professor Ioannam during the Fall '09 term at Duke.

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STA213lecture9.beamer - Todays outline: pp 98-111 Examples...

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