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Probability and Statistics (EQT 272) Tutorial Chapter 2 1. Determine whether the following random variables are discrete or continuous. a) b) c) d) The number of eggs that a hen lays in a day. The amount of milk a cow produces in one day. The cost of making a randomly selected movie. The number of goals scored by a randomly selected football player in a soccer tournament. 2. Determine the value c so that the following function is a probability function for a discrete random variable. x2 5 f ( x) c for x 0,1, 2,3, 4 2 2 3. A box contains three marbles (one blue, one red and one yellow). Two marbles are drawn with replacement. This means a marbles is selected, its colour is observed and then it is replaced in the box. A second marble is then selected and its colour is observed. Let B denotes “blue” , R denotes “red” and Y denotes “yellow”. a) List the possible outcomes (the elements in the sample space S) b) Let X be a random variable giving the number of “yellow” marbles. List the outcomes for the random variable X. c) Find the probability for each value of X. 4. A factory manufactures DVDs. Batches of DVDs are randomly selected. The number of defects (X) for each batch is observed and the following distribution is obtained. X P(X=x) 0 0.502 1 0.365 2 0.098 3 0.023 4 0.011 5 0.001 a) Verify whether this distribution is a probability distribution. b) Find P(X ≥ 2) c) Find P(0<X<4) 1 5. Let the probability density function of a random variable Y be 0 y 1 1 y 2 otherwise , y f ( y ) 2 y , 0 , a) Find F(Y) b) Find P(0.5≤Y≤0.9) c) Find P(0.75≤Y≤1.5) 6. Suppose X is a random variable with the following distribution function. , x0 0 x3 3 F ( x) (4 x 2 ) , 0 x 8 3 256 , x8 1 a) Find P(-1≤ X ≤ 2) b) Find f (x) 7. Let Y be a continuous random variable with the following probability density function. , 0 y 1 y f ( y ) 2 y , 1 y 2 0 , otherwise Calculate a) E(Y) b) Var (Y) c) Y Answers: 1. b)continuous c) continuous d) discrete 4 c) 2 55 5. a) S BB, BR, BY , RB , RR , RY , YB , YR, YY a) 0, y2 , 2 F Y 2 y 1, 4. 9 9 b) 0.28 6. b) 2 1, for 1 y 2 2 7. b) 0.133 c) 0.486 c) 0.594 a) 0.156 for 0 y 1 for y 2 1 , a) probability distribution for y 0 y 4 , 9 2. 3. b) X 0, 1, 2 a) discrete a) 1 3 8 x x 2 , for 0 x 8 f x 256 elsewhere 0, b) 0.167 c) 0.408 2