D x has the Integer 0,1, 2,3...n and Y has discrete show that a discrete Unifor distri butiin on distributin on a Uniform distribtion on 1,2,3,..n Var (x)-Var(y)= (2nt1) %3D 12
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- Let x1 ~ N(0,1), X2 ~N(-1,4) and X3~N(1,9) be independent. Derive the distribution of Y=x1-x2-2x3 and compute P(-3<y<1)If a random variable X has a discrete uniform distribution. fx(x)=1/k for x=1,2,..,k;0 otherwise. Derive P.G.F of X and compute E(2x+1)Let Xi be arandom sample from U(0,1)prove that Xn’ convarges in probability to 0.50
- Let X be a Uniform(-6,6) random variable.(a) The moment generating function of X is My(t) = A(eBt - CCt ) tD for some t in the neighbourhood of zero.Which values of the constants A, B, C, D are correct (following the same order as they occur here)? 1) 3.00, 6, -6, -12) 0.08, -6, 6,13) 0.33, 6, -6, -1 4) 3.00, -6, 6, -15) 0.336, -6,16) 0.08, 6, -6, -1Let (Ω,F,P) be a probability space. (a) Show that the set Fa.s. := {A ∈ F; P(A) = 0 or 1} is a σ-algebra. (b) Let X : (Ω, Fa.s.) → (R, B) be a random variable. Prove that there is a unique x ∈ R such that P({X = x}) = 1. Hint: Be careful, there are plenty of real valued random variables such thatP({X=x})=0forallx∈R. TryusetheCDFofX.Let X be a continuous random variable, then which of the following are necessarily true: selectallthatapply: P(X≤5)=1.5P(X≤5)=1.5 P(X≤5)=1−P(X≥5)P(X≤5)=1−P(X≥5) P(X=5)=0P(X=5)=0 P(X≤5)=0P(X≤5)=0 P(X≤5)=P(X<5)P(X≤5)=P(X<5)
- Consider a dicrete uniform random variable X over the set {1, 2, ..., k} where k = 12 The event A is defined as A = {k - 2, k - 1, k}. Find P[X=k|A]Find k if the joint probability distribution of X, Y, andZ is given by f(x, y, z) = kxyzfor x = 1, 2; y = 1, 2, 3; z = 1, 2.Verify that if T has a t distribution with ν degrees offreedom, then X = T2 has an F distribution with ν1 = 1and ν2 = ν degrees of freedom.
- A service station has both self-service and full-service islands. On each island, there is asingle regular unleaded pump with two hoses. Let X denote the number of hoses beingused on the self-service island at a particular time and let Y denote the number of hoses onthe full-service island in use at that time. The joint probability mass function of X and Y isgiven below: X Y0 1 20 0.10 0.04 0.021 0.08 0.20 0.062 0.06 0.14 0.30a. Find the marginal probability mass function of X and Yb. Give the verbal description the event (X≠0 and Y≠0) and compute the probability of this eventThe probability density of the random variable Z isgiven by f(z) = kze−z2for z > 00 for z F 0Find k and draw the graph of this probability density.Let X have a uniform on the interval (4, 9). Find the probability that the sum of 2 independent observations of X is greater than 16.