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ECE316 Tutorial for the week of June 29-July 3 Problem 5.7 – Page 225 The density function of X is given by 0 1 0 If E[X] = 3/5, find a and b. Solution: Since we have 2 unknowns, we need to have 2 equations. 1 1st equation : 2nd equation : , Solving the 2 equations, we will get ... Problem 5.14 – Page 225 Let X be a uniform (0,1) random variable. Compute E[Xn] by using proposition 2.1, and then check the result by using the definition of expectation. Solution: Ö Using the definition of expectation : Let , for 0 1 0 1 then the CDF will be / Now we need to find the PDF … Then / / Ö Using proposition 2.1 : Problem 5.15 – Page 225 10 and If X is a normal random variable with the parameters 36, compute 5 (a) (b) (c) (d) (e) 4 16 8 20 16 Solution: , where Z have a zero mean and Define a normalized normal random variable unity variance. Now, we can use Table 5.1 to find the probabilities. 5 (a) 4 (b) 16 1 Then, . ∞ 1 0.8413 1 1 4 16 (c) 8 (d) 20 (e) 16 1 1 0.8413 1 1 0.8413 1 0.7967 1 1 1 0.8413 0.6826 1 1 0.6293 0.3707 0.9525 1 1 1 1 0.8413 0.1587 Problem 5.16 – Page 225 The annual rainfall (in inches) in a certain region is normally distributed with 40, and 4 What is the probability that, starting with this year, it will take over 10 years before a year occurs having a rainfall of over 50 inches? What assumptions are you making? Solution: 50 2.5 0.9938 Assuming that the rainfalls in different years are independent, then the Probability that it will take 10 years before having rainfall over 50 inches is = 0.9938 Problem 5.17 – Page 225 A man aiming at a target receives 10 points if his shot is within 1 inch of the target, 5 points if between 1 and 3 inches of the target, 3 points if between 3 and 5 inches if the target. Find the expected number of points scored if the distance from the shot to the target is uniformly distributed between 0 and 10. Solution: Let X be a random variable representing the distance between the shot and the target. 1 0.1 0.1 1 3 0.1 0.2 5 3 0.1 0.2 0.1 10 0.2 5 0.2 3 2.6 Problem 5.18 – Page 225 Suppose that X is a normal random variable with mean 5. If what is the Var(X)? 9 Solution: 1 9 0.2 0.8 Using table, we can see that 0.84, from which we can get 4.76 0.2, approximately