<p>E. Dikong STT 231 – 001</p><p>HOMEWORK 2</p><p>DUE DATE: WEDNESDAY APRIL 09, 2014. IF YOU SUBMIT HW #2 ON OR BEFORE MONDAY APRIL 07, 2014, YOU EARN AN EXTRA BONUS OF 5 POINTS.</p><p>GROUP NUMBER : ______</p><p>LAST NAME FIRST NAME PID AND SIGNATURE</p><p>GROUP SCORE ______</p><p>1 1. Two cards are selected at random from a box which contains five cards numbered 1, 1, 2, 2, and 3. Let X denotes the sum and Y the maximum of the two numbers drawn. Determine</p><p>(a) The joint distribution of X and Y. [Hint: Complete the table below] 13 points</p><p>Y</p><p>X</p><p>(b) Show clearly in the space provided below, your work for the P(X=2, Y=1). 2 points</p><p>(c) Show clearly in the space provided below, your work for the P(X=3, Y=2). 2 points</p><p>2 2. Suppose the distance X between a point target and a shot aimed at the point in a coin- operated target game is a continuous random variable with p.d.f.</p><p>3  (1 x 2 ), 1  x  1 f (x)  4 0 otherwise.</p><p>(a) Sketch the graph of f(x). 4 points</p><p>(b) Compute P(X > 0). 3 points</p><p>3 (c) Compute P(0.5  X  0.5).3 points</p><p>(d) Compute P(X  0.25 or X  0.25). 6 points</p><p>4 3. A fair coin is tossed four times. Let X denotes the number of heads occurring and let Y denote the longest string of heads occurring. Determine the joint distribution of X and Y. [23 points] HINT: Complete the cells in the table below.</p><p>Y X</p><p>5 4. The cook in a restaurant stashes away a tub containing 15 oysters because he knows that there are pearls in 9 of the oysters. A busboy who also knows about the pearls finds the tub, but can make off with only 4 of the oysters before someone sees him. If you let X be the number of oysters that contain a pearl out of those the busboy has, [18 points]</p><p>(a) Write down the probability function of X? (4 points)</p><p>(b) What’s the probability that he has 0, 1, 2, 3, or 4 oysters with a pearl? [Hint: Evaluate P(X=0); P(X=1); P(X=2); P(X=3); P(X=4).] (14 points) [Show work and simplify your answers]</p><p>P(X = 0) =</p><p>P(X = 1) =</p><p>6 P(X = 2) =</p><p>P(X = 3) =</p><p>P(X = 4) =</p><p>(c) Find the E(X) and VAR(X). [4 points] [Work must be shown]</p><p>E(X) =</p><p>VAR(X) =</p><p>7 5. Cathy has 6 blue, 3 yellow, 4 red, and 7 green marbles in a bag. She wants to give her cousin Charlie 2 marbles of each color. If she reaches in the bag and takes out 8 marbles without looking and without replacing any, what’s the probability that she’ll select 2 marbles of each color? (4 points) [Work must be shown and simplify your answer]</p><p>6. Determine the value of c so that each of the following can serve as a probability distribution function of the discrete random variable X. [HINT: Use  P(X  x)  1 where P(X = x) = f(x)] [Show work] (4 + 5) points</p><p>(i) f (x)  c(x 2  4) for x  0, 1, 2, 3;</p><p>23  (ii) f (x)  c   for x  0, 1, 2.  x3  x</p><p>8 7. A carnival game offers a $100 cash prize for anyone who can break a balloon by throwing a dart at it. It costs $5 to play, and you are willing to spend up to $20 trying to win. You estimate that you have about a 10% chance of hitting the balloon on any throw. </p><p>(i) Create a probability model for this carnival game [Hint: Give the model in the form of a probability distribution table]. 10 points</p><p>(ii) Find the expected number of darts you will throw. 2 points</p><p>(iii) Find your expected winnings. 2 points</p><p>9 8. Suppose the distance X between a point target and a shot aimed at the point in a coin- operated target game has the function f(x), where</p><p>3(1 x 2 )  , 1  x  1, f (x)   4  0, otherwise.</p><p>Show that f(x) is a probability density function. 15 points</p><p>10 3 9. Let X be a binomially distributed random variable with E(X) = 2, and VAR(X) = . 2 Find the distribution of X.</p><p>(i) First find the parameters p, q, k, and n. [Show clear work] 5 points</p><p> p = q = n = k =</p><p>(ii) Give the distribution of X in the form of a table. [Do not simplify the binomial expressions] 9 points</p><p>11 10. (i) Suppose that a system contains a certain type of component whose time in years to failure is given by the random variable T, distributed exponentially with parameter   0.2 . If 5 of these components are installed in different systems, what is the probability that at least 2 are still functioning at the end of 8 years? 10 points</p><p>12 (ii) The length of time for one individual to be served at a cafeteria is a random variable having an exponential distribution with a mean of 4 minutes. What is the probability that a person is served in less than 3 minutes on at least 4 of the next 6 days? 10 points</p><p>13</p>