quiz4 - x i 2 / n E[( X X ) 2 ] all c ( c X ) 2 f X ( c )...

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Quiz 4. February 16, 2011 Seat # _________ Name: _________________________ Closed book and notes. No calculator. Circle all correct answers. 1. (2 pts) For a discrete random variable X , the probability mass function is f X (6) = P( X = 6) P( X < 6) P( X 6) P( X > 6) P( X 6) 2. (2 pts) For a discrete random variable X , the cumulative distribution function is F X (6) = P( X = 6) P( X < 6) P( X 6) P( X > 6) P( X 6) 3. (2 pts) For a discrete random variable X , the expected value is E( X ) = Σ i = 1 n x i / n Σ all c c f X ( c ) Σ all c f X ( c ) Σ all x F X ( x ) 4. (2 pts) For a discrete random variable X with mean μ X , the variance is V( X ) = Σ i = 1 n
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Unformatted text preview: x i 2 / n E[( X X ) 2 ] all c ( c X ) 2 f X ( c ) all x ( x X ) 2 f X ( x ) 5. (2 pts) For a discrete random variable X with mean X , the standard deviation is std( X ) = ddddddd i = 1 n x i 2 / n d [V( X )] E( X X ) E( X 2 ) X 2 ______________________________________________________________________ Write on the back any concerns about the weekly quizzes or the course in general. IE 230 Page 1 of 1 Schmeiser...
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This note was uploaded on 04/25/2011 for the course IE 230 taught by Professor Xangi during the Spring '08 term at Purdue University-West Lafayette.

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