Chapter 6: Q. 6.40 (page 273)
The joint probability mass function of X and Y is given by
Short Answer
(a) The conditional mass function of X:
(b) X and Y are not independent
(c) Corresponding probabilities,
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Chapter 6: Q. 6.40 (page 273)
The joint probability mass function of X and Y is given by
(a) The conditional mass function of X:
(b) X and Y are not independent
(c) Corresponding probabilities,
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The monthly worldwide average number of airplane crashes of commercial airlines is . What is the probability that there will be (a) more than such accidents in the next month? (b) more than such accidents in the next months? (c) more than such accidents in the next months? Explain your reasoning!
Three points X1, X2, X3 are selected at random on a line L. What is the probability that X2 lies between X1 and X3?
Consider a directory of classified advertisements that consists of m pages, where m is very large. Suppose that the number of advertisements per page varies and that your only method of finding out how many advertisements there are on a specified page is to count them. In addition, suppose that there are too many pages for it to be feasible to make a complete count of the total number of advertisements and that your objective is to choose a directory advertisement in such a way that each of them has an equal chance of being selected.
(a) If you randomly choose a page and then randomly choose an advertisement from that page, would that satisfy your objective? Why or why not? Let n(i) denote the number of advertisements on page i, i = 1, ... , m, and suppose that whereas these quantities are unknown, we can assume that they are all less than or equal to some specified value n. Consider the following algorithm for choosing an advertisement.
Step 1. Choose a page at random. Suppose it is page X. Determine n(X) by counting the number of advertisements on page X.
Step 2. 鈥淎ccept鈥 page X with probability n(X)/n. If page X is accepted, go to step 3. Otherwise, return to step 1.
Step 3. Randomly choose one of the advertisements on page X. Call each pass of the algorithm through step 1 an iteration. For instance, if the first randomly chosen page is rejected and the second accepted, then we would have needed 2 iterations of the algorithm to obtain an advertisement.
(b) What is the probability that a single iteration of the algorithm results in the acceptance of an advertisement on page i?
(c) What is the probability that a single iteration of the algorithm results in the acceptance of an advertisement?
(d) What is the probability that the algorithm goes through k iterations, accepting the jth advertisement on page i on the final iteration?
(e) What is the probability that the jth advertisement on page i is the advertisement obtained from the algorithm?
(f) What is the expected number of iterations taken by the algorithm?
The random vector (X, Y) is said to be uniformly distributed over a region R in the plane if, for some constant c, its joint density is f(x, y) = c if(x, y) 鈭 R 0 otherwise
(a) Show that 1/c = area of region R. Suppose that (X, Y) is uniformly distributed over the square centered at (0, 0) and with sides of length 2
(b) Show that X and Y are independent, with each being distributed uniformly over (鈭1, 1).
(c) What is the probability that (X, Y) lies in the circle of radius 1 centered at the origin? That is, find P{X2 + Y2< 1}.
If U is uniform on and Z, independent of U, is exponential with rate , show directly (without using the results of Example b) that X and Y defined by
are independent standard normal random variables.
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