First course in probability and statistics Department of mathematics and systems analysis Aalto University 3B J Tölle & S Moradi Spring 2017 Exercise 3B Continuous random numbers Cumulative distribution function Normal distribution Stochastic dependence and linear correlation Class exercises 3B1 Consider the random variable Z ∼ N (0, 1).1 (a) Find the median of Z, that is, a number z such that Pr(Z > z) = 0.5. (b) What is Pr(Z > 1)? (c) What is Pr(Z ≤ −1)? (d) Find z such that Pr(Z ≤ z) = 0.95. (e) Find z such that Pr(Z ≥ z) = 0.05. (f) What is Pr(|Z| ≤ 2)? (g) Find z such that Pr(|Z| ≥ z) = 0.05. Consider the random variable X ∼ N (1, 9). (h) What is Pr(X ≤ −1)? (i) Find x such that Pr(X ≥ x) = 0.05. (j) What is Pr(X = 1)? 3B2 (The correlation of supporter groups) In the upcoming elections, the relative votes for the two largest parties are modeled by two random numbers X and Y , which have the joint distribution given by the following density function ( 2, x, y ≥ 0, x + y ≤ 1, f (x, y) = 0, otherwise. (a) Determine the density function, the expectation and the standard deviation for X. (b) Determine the density function, the expectation and the standard deviation for Y . (c) Compute the correlation of X. (d) Determine, whether X and Y are dependent or independent. 1 Consider Mellin’s statistical tables, too. See the following MyCourses page: https://mycourses.aalto.fi/mod/resource/view.php?id=197649. 1/2 First course in probability and statistics Department of mathematics and systems analysis Aalto University J Tölle & S Moradi Spring 2017 Exercise 3B Homework 3B3 Suppose that random variables X and Y have joint density function f (x, y) = Cxy, 0 ≤ x ≤ 1, 0 ≤ y ≤ 1, where C is a constant. Determine:: (a) The value of C. (b) Pr(0 ≤ X ≤ 1/2, 1/2 ≤ Y ≤ 1) (c) Density functions of X and Y . (d) Are X and Y dependent or independent? 3B4 Suppose that the probability mass function of random vector (X, Y ) is Pr(X = 2, Y = 4) = Pr(X = −2, Y = 4) = Pr(X = 0, Y = 0) = 1/3. (a) Calculate the covariance between X and Y . (b) Are X and Y linearly correlated? (c) Are X and Y dependent? Explain your results. 2/2
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