Suppose X and Y are random variables with E[XY ] = 6, E[Y ] = 4 and E[X] = 5 Find Cov(X; Y )

Q: Let X, Y be independent Uniform (0, 2) random variables. Define Y, if X }. Z = Compute E[Z] and…

A: X,Y ~ Uniform(0,2) E(X) = E(Y) = 0+22=1 Var(X) = Var(Y) = (2-0)212=412=13 Z = Yif X <122Yif X≥12…

Q: If X and Y are two independent random variables such that E[X]=2, variance of X = o}, E[Y]= 1, and…

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Q: Let X, Y, and Z be random variables, and let Cov(,) denote the covariance operator as usual. Suppose…

A: We want to find  (1) Cov(11Y,4X)= ?  (2)Cov(11Y+3, 4X+8Y)= ?

Q: For two random variables X and Y where X∼ exponential(0.5) and Y|X = x ∼ N(5,x2), find E(E(X|Y ))

A: Given, Two random variables X and Y such that X~Exp(0.5) and Y|X=x ~N(5,x2)

Q: If X1, X2, ... , Xn constitute a random sample of size nfrom a geometric population, show that Y =…

A: Factorization Criteriom ( Due to Fisher)Let x⏟= (x1, x2,.....,xn) be a R.S from PME f(xiθ).…

Q: If X and Y are two random variables, then the covariance is Cxy = Ryy – XY

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Q: Suppose that X and Y are random variables with E(XY) = E(X)E(Y). Then X and Y * independent. Also…

A: We know that if X and Y are independent then E(XY)=E(X)E(Y). But the converse is not always true.…

Q: If X and Y are two random variables, then the covariance of x+a,Y +b,where a and b are constant is…

A:

Q: If X is a random variable, prove that Cov(X,X) = σX².

A: Let X is a random variable.

Q: Suppose that we observe m iid Bernoulli(0) random variables, denoted by Y₁,..., Ym. Show that the…

A:

Q: 2. Consider random variable X and Y with µx= 0; 0x= 3; Hy = 1; 0y= 4. Assume that X and Y have…

A: a) Consider, EZ=E2X+2Y        =2EX+2EY        =(2*0)+(2*1)       =2

Q: Let Y1 =;(X2 - X2), Y2 = X2 where X1 and X2 are stochastically independent random variable each…

A:

Q: Xy Xy Xn is a random sample from a normal population ...... 2 x², is an unbiased estimator i = 1 P…

A: Answer: For the given data,

Q: 2. Let X and Y be random variables such that V(X) = V(Y). Show that Cov(X + Y, X - Y) = 0.

A: we have given that  V(X)=V(Y) and C(X,Y)=C(Y,X)   ,C(X,X)=V(X) ,  C(Y,Y)=V(Y)

Q: Suppose X₁ and X₂ are Find UMVUE for μ independent N(μ, 1) random variables, for an unknown…

A: Given Xi~N(μ,1), i=1,2

Q: Let U and V be uncorrelated random variables. Consider U = X + Y and V = X. a. Find Cov(U,V). b. Is…

A: Given that  Let U and V are uncorrected  U=X+Y and  V=X  We have to find  a..Cov(U,V)  b..is there…

Q: Suppose X, Y and Z be random variables with j.p.m. f. f(x, y, z)= kxyz with x E {1,2}, y = {1, 2,…

A: Given information: The value of k is obtained below:

Q: A continuous random variable X is defined by: Solve: 1. f(x) = (3+x)²/16  ; -3≤ x≤ -1 2. f(x) =…

A: Given: Let X be a continuous random variable. Solving the following density functions. 1.…

Q: Suppose that X andY are random variables with E(X) = 2 , E(Y) = 5 and E(X²) = 8, E(Y?) = 30 and…

A: Given that ; E(x) = 2   ;    E(x2 ) = 8  ; E(y) = 5  ;    E(y2 ) = 30 By using these information we…

Q: Let X and Y be continuous random variables with joint p. d. f. f(x, y) = {2 if 0 <y<1-x;0 <x<1…

A: The joint probability density function is fx, y=2 if 0&lt;y&lt;1-x ; 0&lt;x&lt;10, elsewhere

Q: Let X and Y be random variables, and a and b be constants. a) Prove that Cov(aX, bY) = ab Cov(X,Y).…

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Q: Define random variables V and W by V=X+cY and W=X-cY. Where c is a real number and X and Y are…

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Q: Let X and Y be two (continuous or discrete) random variables with E(X)=D2, E(Y)3D5, Var(X)=9,…

A: Given: E(X) = 2 E(Y) = 5 Var(X) = 9 Var(Y) = 16 Cov(X,Y) = 5 Formula Used: Var(X-Y) = V(X) - V(Y) -…

Q: Suppose that X and Y are random variables with E(X) = 2, E(Y) = 5 and E(X") = 8, E(Y) = 30 and…

A: Solution: From the given information,

Q: Suppose x is a discrete random variable with mass function given by: (b x-0 |2b x -1 3b x-2 0…

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Q: If X and Y are any random variables with COV(X, Y) = 0.25, o = 0.36, and o = 0.49, then the…

A: From the given information, Covx,y=0.25         σ2x=0.36         σ2y=0.49 Thus,

Q: Suppose you have joint random variables X and Y. a) If a problem does not state anything about…

A: X and Y are 2 R.V. and if the dist. of X is not influenced by Y values then 2 R.V. are independent.

Q: Show that for two random variables X and Y, 2 2 var(aX+bY) = a¹o²+b²oy² + 2ab Cxx XY where a and b…

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Q: Suppose that the random variables Y1, . , Yn satisfy Y, = B ; + e, i= 1,..., n, where #1, ..., In…

A: From the given information, Y1, Y2,....,Yn satisfy Yi=βxi+εi, i=1,2,....,n. Here, x1,x2,....,xn are…

Q: Let X and Y be random variables. Suppose Var(X) = 1.6, Var(Y) = 1.5, and Cov(X, Y) = 0.1. Let Z =…

A: Solution: From the given information, Var(X) =1.6, Var(Y) =1.5 and Cov (X, Y) =0.1. Let Z =…

Q: Let X1, X2, ... be independent random variables with 0 mean. Let Zn Show that {Zn, n > 1} is a…

A: The objective is to show Zn =∑Xiis a martingale.

Q: Suppose X1, X2, X3 and X4 are independent random variables, which have the same Bernoulli…

A: Given that  X1, X2, X3, X4 ~ Bernoulli ( p = 1/3 ) X1, X2, X3, X4 are independent  Compute Cov(X1 +…

Q: Let X and Y be two random variables with E (X) = 1, E (Y) = 2, Var (X) = 1, Var (Y) = 2, !! Cov (X,…

A: Given that the mean of aX+bY is 3  So,  E(aX+bY)=3aE(X)+bE(Y)=3a(1)+b(2)=3a+2b=3a=3-2b ..........(Eq…

Q: Suppose that X1, X2, X3 are independent and identically distributed random variables with…

A: # Given CDF of random variable x  F(x)=1-2^-x     : x&gt;0  let y=max(x1,X2,x3)   To find…

Q: Let X be a uniform random variable over the interval 1 to 4 and Y is exponential with a mean of 2.…

A: Correlation Coefficient between two Random Variables: If X and Y be two random variables, then the…

Q: Let X1,., X, be independent and identically distributed random variables with Var(X1) <o. Show that…

A:

Q: Let X1,X2,... be a sequence of identically distributed random variables with E|X1|<∞ and let Yn =…

A:

Q: Suppose Y₁,..., Yn are i.i.d. random variables with Y; ~ N(u, o). Express the following vector in…

A: It is given that Yi~Nμ,σ∀i=1,2,…,n. Thus, Y can be written as follows: Y=1nY1+Y2+⋯Yn

Q: Suppose that X and Y are random variables with E(XY) = E(X)E(Y). Then X and Y * independent. Also…

A: E(XY) = E(X)E(Y)

Q: Show that if X is not a deterministic random variable, then H(X) is strictly positive. What happens…

A: Suppose a random variable takes values on k numbers {a1 , a2,...., ak} with corresponding…

Q: 7. Suppose X is a continuous random variable with pdf ƒ and that Y = aX + b where a and b are…

A: Introduction: A continuous random variable is a type of random variable that assumes every value…

Q: Q. For any random variables X and Y and the constant a, b, c and d show that Cov(aX + b, cY + d) =…

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Q: Let X,Y, Z be random variables each having a mean µ and variance o². rurther, let Cov(X,Y) = 2,…

A: In question, Given that X, Y, Z are three random variables with mean mu and variance sigma^2. And,…

Q: 4. Let X, Y be independent random variables. Prove that E(XY) = E(X) E(Y) and hence show that V(X…

A: The expected value is also known as average of the probability distribution function. It is the…

Q: If random variables X1 and X2 are independent then .A o=(°x'x)aq »(x,x,)="," cov (X ,X_)=0 cov 2 .B…

A: Given,the random varibles X1 , X2 are independent .

Q: random variables with E(X) =2, E(Y)=3 ,V(X)=4,V(Y)=16. Find a)E(5X-Y) b)V(5X-Y) c)COV(3X+Y,Y)…

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Q: .. Let X, Y, Z be random variables each having a mean µ and variance o². rurther, let Cov(X, Y) = 2,…

A: In question, Given that X, Y, Z are three random variables with mean mu and variance sigma^2. And…

Q: Suppose x is a discrete random variable with mass function given by: [b x=0 2b x=1 f(x)= 3b x=2 |0…

A:

Contingency Table

A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.

Binomial Distribution

Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.