Respond to this Question
Similar Questions

Math
Let A be an event with probability P(A). If E[(IA) ^36217] = Var[2(IA + 36217)]. Find P(A)
asked by Anonymous on June 1, 2014 
Probability
An image , corrupted with noise, has pixels which take the value 1 with probability q and 0 with probability 1−q, with q being the value of a random variable Q which is uniformly on [0,1]. Xi is the value of pixel i, but we
asked by organicCoco on November 15, 2018 
Statistics
Joint probability density function is: x + y where 0
asked by Sean on October 8, 2009 
Probability
Let X,Y,Z be independent discrete random variables with E[X]=2, E[Y]=0, E[Z]=0, E[X^2]=20 E[Y^2]= E[Z^2]=16, and Var(X)=Var(Y)=Var(Z)=16. Let A=X(Y+Z) and B=XY. 1. Find E[B]. E[B]= ? 2. Find Var(B). Var(B)= ? 3. Find E[AB]. E[AB]=
asked by stud81 on October 3, 2018 
Probability
Question:A fair coin is flipped independently until the first Heads is observed. Let the random variable K be the number of tosses until the first Heads is observed plus 1. For example, if we see TTTHTH, then K=5. For K=1,2,3...K,
asked by Zozina on October 27, 2018

Stat & Prob.
Show that if Cov(X,Y)=0, then the correlation coefficient satisfies p(X+Y, XY)=Var(X)Var(Y)/ Var(X)+Var (Y)
asked by jerry on December 1, 2016 
Statistics
Event A occurs with probability 0.1 and event B with probability 0.5 A) What is the maximum probability that the intersection of A and B can have? B) What is the minimum probability that the intersection of A and B can have? C) If
asked by Rebekah on September 6, 2014 
Math
In an experiment, the probability of the event E is known to be .4. Also the probability of the event F is .8,and the probability of E∪F is 1. i) Compute the probability of these events: P(E∩F)= P(EF)= ii) Suppose the
asked by Tracy on April 21, 2011 
Probability
Let A be an event, and let IA be the associated indicator random variable: IA(ω)=1 if ω∈A , and IA(ω)=0 if ω∉A . Similarly, let IB be the indicator of another event, B . Suppose that, P(A)=p , P(B)=q , and P(A∪B)=r . 1.
asked by Kina on June 14, 2019 
probability
consider a sequence of independent tosses of a biased coin at times k=0,1,2,…,n. On each toss, the probability of Heads is p, and the probability of Tails is 1−p. A reward of one unit is given at time k, for k∈{1,2,…,n},
asked by luke on February 27, 2014