Suppose that the joint CDF of the random variables X and Y is given by: 0, x < -2 or y < -5 3/8, -2<< 2 and -5
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A: The given X is a random variable with EX=50 and VarX=12.
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A: It is an important part of statistics. It is widely used.
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A: Note According to Bartleby guidelines expert solve only one question and rest can be reposted.
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A: Given X is a binomial random variable Number of trials=n=167 Probability of success=p=0.051
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A: Given X is a binomial random variable n=No. of trials=125 p=Probability of success=0.016
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- X is Gaussian random variable with mean 50 and standard deviation 5, what is the correct way to standardize X such as the standardized variable has mean 0 and standard deviation 1? a). X-50 b). (X-50)/5 c). (X-50)/25 d). (X-5)/50How shall we represent a mode for the continuous random variable?4. Suppose we have random variables W and Q, and we know Var(W) = 25, Var(Q) = 10, and Cov(W, Q) = 2. Now, let A = 2W + 4Q. What is Var(A)?
- 3. (Competing patterns among coin flips) Suppose that Xn, n > 1 are i.i.d. random variables with P(X1 = 1) = P(X1 = 0) = }. (These are just i.i.d. fair coin flips.) Let A = (a1, a2, a3) = (0, 1, 1), B = (b1, b2, b3) = (0,0, 1). Let TA = min(n 2 3: {Xn-2, Xn-1, Xn) = A} be the first time we see the sequence A appear among the Xn random variables, and define TB similarly for B. Find the probability that P(TA < TB). (This is the probability that THH shows up before TTH in a sequence of fair coin flips.)Show that two random variables X, and X, with joint pdf. Sx, x, (*1 »*2) = 16 Xl< 4, 2< X2<4 are independent and orthogonal.▾ Part 1 This problem involves selecting books from a shelf. Assume that the shelf holds 5 short stories and 3 novels. A student selects 5 books at random. A random variable X is defined to be the number of novels selected. How many different values are possible for the random variable X? 4 ▾ Part 2 Fill in the table below to complete the probability density function. Be certain to list the values of X in ascending order. Probability Value of X # 0 -23 1
- In the first hour of customers using the app they served 180 customers. STACO decided to treat this hour as 60 non-overlapping intervals of one minute each. They then assumed they could model the number of customers served each minute by independent and identically distributed Poisson Random Variables. They called the number of customers served in the ith minute X₁, so X₁ + X₂ + ... + X60 180, X₁~ Poisson(X), and X; and X, are independent if i j. - STACO used this to compute an estimated 95% confidence interval and then told Coffee Kart that they could claim to serve an average of three customers per minute. = i Recall that the maximum likelihood estimator of A is A X. Using the same assumptions as STACO and assuming that n is large enough to apply the Central Limit Theorem, calculate an estimated 95% confidence interval for X. ii Do you agree with the assumptions made by STACO. Justify your answer.Let X and Y be two random variables such that Cov(X.Y) = -3 . Then %3D O None of these O cov(-3X+5,-3Y+5)=-18 cov(3X+5,-2Y+5)=18 O cov(5X+3,-2Y-2)=-203.Suppose that X and Y are independent random variables for which Var(X)=Var(Y)=3. Find the values of (a) Var(X-Y); (b) Var(2X-3Y+1).
- 24. Gaussian random variables X, and X,, for which, X, = 2, o = 9, X, =-1, ox, = 4 and Cxx, =-3, are transformed to new random variables Y, and Y, according to जापर डेरें| Y, =-X, + X, Y, =-2X,- 3X, (iii) Cy,Cy, .. FindEach of the random variables X and Y takes only 3 values {1,2,3} with the following probabilities: 1 1 0 1/6 1/6 y 2 1/6 0 1/6 3 1/6 1/6 0 2.