TOPIC: Proof of the given identity for a random variable taking only two values with equal probability.
1. Let X be a random variable on a probability space X which takes on exactly...
1. (6) Let X be a random variable on probability space (2, F, P), and Y X +1. Show that if x and Y are independent, then X is a constant with probability one.
1.Let X be a random variable that takes on integer values 0 to 9 with equal probability 1/10 a.Let Y-X mod(3); determine ly b. Let Y-6 mod(X + 1); determine Hy. For any non-negative integers, a and b, b# 0 by definition: a mod(b)-r For instance 27mod(12) 3 becaus2-+ k + where k and r are non-negative integers and 0 S r < b; 12
Let X be a random variable that takes values x = (xi,... , xn) with respec- tive probabilities p (pi,. .. , pn). Write two R functions mymean (x,p) and myvariance (x, p), which find the mean and variance of X, respec- tively. Use your function to find the mean and variance of the point value of a random Scrabble tile, as in Example 4.1 Let X be a random variable that takes values x = (xi,... , xn) with...
6. (Entropy) The Bernoulli random variable X takes on the values 0, 1 with equal probability, i.e. PX pX Compute El(x) if where logs are to base 2
Problem 3. Let X be a discrete random variable that takes values in N. Show that if X is memory-free then it must be the case that X Geo(p) for some p. (Hint a useful first step might be to show that P(X > t)= P(X > 1)' for all t E N.) Problem 3. Let X be a discrete random variable that takes values in N. Show that if X is memory-free then it must be the case that...
let x be a random variable which takes values in the interval (1,3). the density function of x is proportional to 2^x. find the mean
9. Let (2, F,P) be a probability space, X be an square-integrable random variable defined on this space and let G be a sub-g-field of F. Relying only on the definition of conditional expectation, show the following properties: a) E(E(X|9)) = E(X). b) If X is independent of G, then E(X\G) = E(X) a.s.
Let Ņ, X1. X2, . . . random variables over a probability space It is assumed that N takes nonnegative inteqer values. Let Zmax [X1, -. .XN! and W-min\X1,... ,XN Find the distribution function of Z and W, if it suppose N, X1, X2, are independent random variables and X,, have the same distribution function, F, and a) N-1 is a geometric random variable with parameter p (P(N-k), (k 1,2,.)) b) V - 1 is a Poisson random variable with...
Recall that a Bernoulli random variable with parameter p is a random variable that takes the value 1 with probability p, and the value 0 with probability 1 - p. Let X be a Bernoulli random variable with parameter 0.7. Compute the expectation values of X, denoted by E[X*1, for the following three values of k: k = 1,4, and 3203. E [X] = E [X4 E [X3203
I'm stuck on a probability problem, could anyone do me a favor? Many thanks! Let X be a continuous real-valued random variable on a probability space (2,F, P with characteristic function φ, and let K > 0, Show that 1/K Hint: use that sinw) -T ifly22 Let X be a continuous real-valued random variable on a probability space (2,F, P with characteristic function φ, and let K > 0, Show that 1/K Hint: use that sinw) -T ifly22