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Nov 24, 2024

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STAT/MA 41600 Practice Problems: December 10, 2014 1. Jim cuts wood planks of length X for customers, where X is uniformly distributed between 10 and 14 feet. The price of a piece of wood is $2 per foot, plus a flat-rate surcharge of $2 for Jim’s services. So Y = 2 X + 2 is the amount he charges for a piece of wood. a. Find the density f Y ( y ). Be sure to specify the interval where f Y ( y ) is nonzero. b. Using the density f Y ( y ) of Y , find the probability that Y exceeds $28. c. Check your answer: Using the density f X ( x ) of X , find the probability that Y = 2 X + 2 exceeds $28. 1
2. Let X be the price of a CD during a “lightning sale” on Cyber Monday. The total purchase price (in dollars) is Y = 1 . 07 X + 3 . 99, since there is 7% tax and $3.99 shipping. Suppose that X is uniform on the interval [4 , 9]. a. Find the density f Y ( y ). Be sure to specify the interval where f Y ( y ) is nonzero. b. Find the expected purchase price (with tax and shipping) by E ( Y ) = R y f Y ( y ) dy . c. Check your answer: Find the expected purchase price (with tax and shipping) by E (1 . 07 X + 3 . 99) = R 9 4 (1 . 07 x + 3 . 99) f X ( x ) dx . 2
3. Let X be a random variable that is uniform on [3 , 6]. a. If we make a box with area Y = ( X - 1)( X + 1), what is the CDF of Y ? [Hint: Note that (2)(4) Y (5)(7), i.e., 8 Y 35.] b. What is the density f Y ( y ) of the area Y of the box? c. Use the density of Y to get the expected area by integrating, i.e., E ( Y ) = R 35 8 y f Y ( y ) dy . d. Check your answer: Integrate with respect X to get the same expected area, i.e., E (( X - 1)( X + 1)) = R 6 3 ( x - 1)( x + 1) f X ( x ) dx . 3
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4. Let X and Y have a joint uniform distribution on the triangle with corners at (0 , 2), (2 , 0), and the origin. Find the covariance of X and Y . 4
5. There are 20 chairs in a circle, and 10 pairs of married individuals. Assume all seating arrangements are equally likely. Let X be the number of couples sitting together, i.e., let X be the number of men who are sitting next to their own wives. Find the variance of X . Hint: Write X = X 1 + · · · + X 10 , where X j indicates whether the j th couple sits together. Then Var( X ) = Var( X 1 + · · · + X 10 ) = 10 X j =1 Var( X j ) + 2 X X 1 i<j 10 Cov( X i , X j ) . [There are 10 terms of the first type and 90 terms of the second type.] 5