4. If the random variable X has an show that for a > 0, b>0, exponential distrib f(x) = x/4, for x ≥ 0, 1 λ P(X> a+b|x> a) = P(X > b).

Q: Let X be a continous random variable with a cumulative distribution function (cdf) as follows 0, r 6…

A: From the expression of Y it can be observed that the value of Y will be zero or less than 0 only if…

Q: Suppose n> 1. Let X₁, X₂, mean and variance o². Let X₁ = (a) Var(4X₁-3X₂) DLX21 Xn be independently…

A: Let  are iid with mean  and variance .Let

Q: Let X be a random variable with the function, Let f(x) = {0*(1 – 0)*forx = 0,1, elsewhere. Assume T1…

A: T1  = mean of X1  = summation (X*f(x)) = 0*f(0)+ 1*f(1) = f(1)= (theta)(1-theta)

Q: If xy Xy .... Xy is a random sample from the distribution. f (x, 0) er (1- 0)-x, x = 0, 1 and 0< 0<1…

A: Answer: For the given data,

Q: (34) Let X be a random variable with p.d.f. 1<x<» k f(x) = { find k. O.w

A: Formula used: fx=x-2k           1&lt;x&lt;∞0                   Otherwise

Q: If X is an exponential random variable with parameter 1, and c > 0, show cX is expor

A:

Q: 2. Suppose that X is a random variable with E(X) = 6 and Var(X) = 4. Find the following: a) Е(4X +…

A:

Q: 5. If X is an exponential random variable with parameter 2, and c > 0, show cX is exponential with…

A: Using transformation of cumulative distribution

Q: 3. If X and Y are independent uniform (0, 1) random variables, show that 2 for a > 0 (a + 1)(a + 2)…

A: X and Y are independent U(0,1) random variables:Objective: Show that:

Q: 9) The initial cost of a random investment is negotiable. The lifetime is 5 years. The MARR is 10% a…

A: According to the above statement

Q: For a continuous random variable X you are told that P(X > 0) = 1.    Additionally, you are told…

A: Given that for a continuous random variable X,  PX&gt;0=1  and   eXd=d+1002,  for all d&gt;0

Q: 3. Let the random variable X have the pmf f(x) = = a) E(X) b) E(X²) c) E(3X²2X + 4) (x+1)² for x =…

A: The provided information is as follows:The probability mass function of  is .

Q: 7. If X is a random variable with fx Let Y = 3√In X. (a) Fx(x) ) = 1, 1<x<e (b) Fy(y) (c) fy(y)

A:

Q: If for a poisson variate 2p ( x = 0 ) = p ( x = 2 ). Find the probability that %3D i) p(x<3), i)…

A: It is given that 2Px=0=Px=2. The pmf of a Poisson distribution is PX=x=e-μμxx!.

Q: 20.5. Suppose that A, B, and C are positive, independent random variables with distribution function…

A: The following solution is given below:

Q: 4. Let X be a random variable taking positive values and assume that E(X) exists. Which of the…

A: Option (I) is correct as E(X2)&gt;= (E(X))2 when we find Variance.

Q: Show that the mean x of a sample of size n from the distribution. e-x/0 f (x)= 0<x< 0 elsewhere is…

A: Here given f(x) which is the distribution of exponential distribution.  We know the mean and…

Q: (1) E(E(X)) = E(X) (2) E(X – E(X)) = 0 (3) Var(X) = E(X²) – [E(X)]² (4) Given constants a and b,…

A: Discrete random variable is defined as a variable which can take only specific values. For example…

Q: 2) Let X₁, X₂, X3, X4 be a random sample of size 4 from a population with the following distribution…

A:

Q: Let X be a random variable. (a) Let YaX be another random variable. What is EY, in terms of μ = EX?…

A: Given : X be the random variable  Y=aX

Q: Let X₁, Xn be a random sample from the beta distribution with a = B = 0 and = = {0: 0= 1,2}. Show…

A:

Q: Let X₁, , Xn be a random sample from a large population following a uniform distribution over [0,…

A:

Q: Suppose that the waiting time X (in seconds) for the pedestrian signal at a particular street…

A: The random variable   represents the waiting time for the pedestrian signal. The PDF of random…

Q: 7. A discrete random variable X taking non-negative integer values has probability gen- erating…

A:

Q: If X1 and X2 are independent random variables with distribution given by P[Xi] = −1 = P[Xi = 1] =…

A: Construct the PMF of X1X2, So, P(X1X2 = x) = P(X1=1, X2 = 1) +P(X1=-1, X2 = -1)    if x =1P(X1=-1,…

Q: Suppose that a random variable X is an Exponential Random Variable with parameter β = 3. (a) What is…

A: Solution: From the given information, X follows an exponential distribution with parameter β=3.

Q: Suppose the random variable, X, follows an exponential distribution with mean 8 (0 ≤ @<∞). Let X₁,…

A: Random variable X follows exponential distribution with mean Random variable X follows exponential…

Q: 2. If X is a random variable taking values 0,1,2,.... and P(X) = ab*, where a and b are positive…

A: i) First part:ii) second part:

Q: For the random variable X with the pmf f (x) = (x² + 4) , P(X = -1| a < 0) x = -2, –1,0, 1,2. Find…

A: Given Information: f(x) = 130x2+4 x = -2, -1, 0 , 1 , 2

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

A: Given Cdf  F(x)=1-2-x; x≥0

Q: 4. Two independent random variables X₁ and x₂ are both uniformly distributed between 9 and 11. Find…

A:

Q: Example 11: Find the maximum likelihood estimator for p when f (x ; p) = p* (1 - p)'-× for x 0, 1.

A:

Q: = 4 and V(X) = 1, which of the following statements Let X be a continuous random variable that only…

A: Given mean=mu=4, variance=sigma^2=1 We solve by using chebyshev's inequality…

Q: (1) Let X be a random variable with p.d.f. e 0<x<0 k ƒ(x) = < find k. O.W

A: Let X be a random variable with pdf  fx=1ke-8x        0&lt;x&lt;∞0                         otherwise…

Q: 3. Consider two random variables X₁ and X₂ whose joint pdf is given by 11/2 for x₁ > 0, x2 > 0, x1 +…

A: We are given joint PDF of X1 and X2 as,f(x1,x2)=12;for x1&gt;0 and x2&gt;0, x1+x2&lt;0…