Exam 8: Bivariate Distributions
Exam 1: Axioms of Peobability15 Questions
Exam 2: Combinatorial Metods15 Questions
Exam 3: Conditional Probability and Independence15 Questions
Exam 4: Distribution Functions and Discrete Random Variables14 Questions
Exam 5: Apecial Discrete Distributions15 Questions
Exam 6: Continuous Random Variables15 Questions
Exam 7: Special Continuous Distribution14 Questions
Exam 8: Bivariate Distributions14 Questions
Exam 9: Multivariate Distributions14 Questions
Exam 10: More Expectations and Variances14 Questions
Exam 11: Sums of Independent Random Variables and Limit Theorems15 Questions
Exam 12: Stocastic Processes13 Questions
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Suppose that five numbers are chosen from 1 to 60 (inclusive, without replacement). If X is the number of even numbers, and Y is the number of powers of 3 in the list of the five chosen, find the joint probability mass function of X and Y.
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Let X and Y be uniform random variables over (0,2) and (0,4), respectively. Find the probability that |X-Y|<2.
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Correct Answer:
.75.
LLet X and Y be independent random variables uniformly distributed over (0,1). Find the distribution function and probability density function of U=XY.
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Correct Answer:
The distribution function is The probability density function is
To invite to a dinner, the White House randomly selects 9 athletes from a group of 5 runners, 7 gymnasts, and 6 boxers. Let X be the number of gymnasts invited, and Y the number of boxers invited. Find the joint probability mass function of X and Y and the conditional probability density function of X given Y=2.
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Let X and Y have joint probability density function Find the marginal probability density functions of X and Y and P(0<(Y-X)/(1-x)<2).
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A game is played by throwing a bean bag onto a circular game board of radius 3m. There is a region, a .5m-by-.5m square, in the center of the board. If the bag lands at a random location on the board, find the probability that it lands on the square.
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A certain aircraft can only fly if both of its two engines are functioning properly. This plane is a home project and so has two different engines. The lifetimes of the engines, in years, are given by random variable X and Y and the joint probability density function of X and Y is given by
(a) Find the probability that the airplane is capable of flying for more than 1 year.
(b) Find the marginal distribution function of Y.
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Two numbers are picked in succession from 1 to 4 (inclusive, with replacement). Let X denote the minimum of the numbers and Y the result of the first number minus the second.
(a) Give the joint probability mass function of X and Y.
(b) Give the marginal probability mass function of X, and
(c) find E(Y+2).
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Let X and Y be two random variables with joint probability density function
(a) Find A.
(b) Find the marginal distribution function of X.
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A point is selected at random in the square [-1,1]×[-1,1]. Let X and Y represent the x- and y-coordinates of the point, respectively. What is probability of the following events,
(a) ;
(b) F={|X|+|y|<1}?
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Suppose that weights of batteries of brand A are normally distributed with mean 35 grams and standard deviation 3 grams. Suppose that weights of brand B batteries are normally distributed with mean 38 grams and standard deviation 4 grams. Find the probability that a randomly selected battery of brand A is heavier than a randomly selected battery of brand B.
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A die is rolled successively. Let X represent the number of 1s in the first 8 rolls and Y the number of 1s in the next 12 rolls. Find the joint probability mass function of X and Y.
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A point is selected at random from the trapezoid bounded by the lines y=0, y=x+2, y=-x+2, and y=1. Let X be the x-coordinate and Y the y-coordinate of the point. Find P(X>1|Y>.5). Are X and Y independent?
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In an experiment a standard die is rolled twice. Let X be the sum of the rolls and Y be the first roll minus the second. Show that E(XY)=E(X)E(Y), but X and Y are not independent.
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