11 a) Find the conditional density of T; given that there are 10 arrivals in the...
13 atoms, each of which decays by emission of an a-particle after an exponentially distributed lifetime with rate 1, independently of the others. Let T, be the time of the first a-particle emission, T, the time of the second. Find: a) the distribution of T: b) the conditional distribution of T2 given T: c) the distribution of T2. 13. Let X and Y be independent random variables, X with uniform distribution on (0,3), Y with Poisson (1) distribution. Find: a)...
Suppose Y is uniformly distributed on (0,1), and that the conditional distribution of X given that Y = y is uniform on (0, y). Find E[X]and Var(X).
Suppose Y is uniformly distributed on (0, 1), and that the conditional distribution of X given that Y -y is uniform on (0, y). Find E[X] and Var(X).
Suppose Y is uniformly distributed on (0, 1), and that the conditional distribution of X given that Y -y is uniform on (0, y). Find E[X] and Var(X).
Let's assume Z is uniformly distributed on (0,1). Also suppose that the conditional distribution of Z given that Y = y is uniform (0,y). Fine E(z) and Var(z) and explain why.
Problem 5. Suppose that a uniformly distributed random number X in 0 is found by calling a random number generator. Then, if the call to the RNG pro- duces the value r for X, another random umber Y is computed that is uniformly distributed on 0, . That is, X is uniform on the interval 0,1], and the conditional distribution for Y given X = 1 is uniform on the interval [0.11 a) Give fonmulas for E(Y X) and Var(Y...
Question 15: Let Π is distributed as Uniform(0, 1) and the conditional distribution of X given Π = π is Bernoulli (π). Find the conditional distribution of Π given X = x. Question 15: Let Π is distributed as Uniform(0, 1) and the conditional distribution of X given 11 = π is Bernoulli (π). Find the conditional distribution of Π given X = x
Exercise 10.33. Let (X,Y) be uniformly distributed on the triangleD with vertices (1,0), (2,0) and (0,1), as in Example 10.19. (a) Find the conditional probability P(X ≤ 1 2|Y =y). You might first deduce the answer from Figure 10.2 and then check your intuition with calculation. (b) Verify the averaging identity for P(X ≤ 1 2). That is, check that P(X ≤ 1 2)=:∞ −∞ P(X ≤ 1 2|Y =y)fY(y)dy. Example 10.19. Let (X, Y) be uniformly distributed on the...
4. Arrivals of passengers at a bus stop form a Poisson process X(t) with rate ? = 2 per unit time. Assume that a bus departed at timet 0 leaving no customers behind. Let T denote the arrival time of the next bus. Then, the number of passengers present when it arrives is X(T) Suppose that the bus arrival time T is independent of the Poisson process and that T has the uniform probability density function 1,for 0t1, 0 ,elsewhere...
Find the conditional density functions for the following experiments. (a) A number x is chosen at random in the interval [0, 1], given that x > 1/4. (b) A number t is chosen at random in the interval [0, ∞) with exponential density e −t , given that 1 < t < 10. (c) A dart is thrown at a circular target of radius 10 inches, given that it falls in the upper half of the target. (d) Two numbers...