Proposition 1.1 Suppose that X1, X2,... are random variables. The following quantities are random variables: (a) max{X1, X2) and min(X1, X2); (b) sup, Xn and inf, Xn; (c) lim sup∞ X and lim inf∞ Xn- (d) If Xn(w) converges for (almost) every w as n→ ∞, then lim- random variable. → Xn is a
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- •Suppose xau (-54,60) and F(t) is the Cumulative distribution function. which is the probability that x is in the interval E-51.-21] and in the interval [36,57] A. F(57)-F(51) B.(F(-21)- F($1)) +(F(57)-F(-36)) C. (F (-21)-F(-51) × (F(57)-F(-36)) D. F(-21) - F(-36) (6)Example 2: Let X1, X2, X10 be independent random variables with a common uniform distribution over the interval (0, 1). Estimate P[Σ],X; < 6].A random walk (RW) {Sn}n>o is a sum of id r.v.s X1, X2, •• , Xn,withP(X1 = a) = p, P(X1 = b) = 1 -p= q.Find the expectation E(Snl and variance var(Sn) of Sn for any n.
- Suppose X is random variable whose p.d.f. is f2)=(2x-x²), 0, OSxs2 Suppose X is random variable whose p.d.f. is f(x)={4 elsewhere Find the mode , if it exists.2. Let U1, U2,... be independent random variables, each with continuous distribution that is uniform in the interval [-3, 3]. Let S, = U ++ Un. (a) Compute the moment generating function of U1. (b) Compute the moment generating function of S,. (c) Determine E(S) and E(S) (by any method).Section II 11. Assume X is a random variable with moment generating function M(t) (0.3et +0.7), -0Prove that the moment generating function of a uniform distribution is et02-et01 t(0₂-0₁) given the probability function of uniform distribution is 1 0₂ - 01 f(y): = -; 0₁ ≤ y ≤ 0₂Let X and Y be independent random variables taking non-negative integer values, having probability generating functions 1 1 for s < 2 (for X) and (2-9 for s < 2 (for Y). (2– s)2 (2 – s)4 Calculate E((X +Y)²).A particle is confined in a straight tunnel aligned in east-west direction and it can move randomly by the step size of one or two units. For each movement, the probability is p that the particle will move one unit to the west, the probability is q that the particle will move two units to the east, and the probability is 1 – p – q that the particle will remain at the same place. (0 < p < 1,0 < q < 1,0 < 1- p – q < 1). A movement is independent to another. Calculate the expectation of the position of the particle after n movements, assuming that the position of starting point is 0.3.) Suppose X has probability generating function GX(t) = 0.2 + 0.3t + 0.1t2 + 0.4t3. What is P(X = 2)? What is P(X = 0)?Let X1, X2, ..., X, be independent random variables and Y = min{X1, X2, ..., Xm}. Fy (y) = 1 – || (1 – Fx,(y)) i=1 (a) A certain electronic device uses 5 batteries, with each battery to have a life that is exponentially distributed with mean of 48 hours and is independent of the life of other batteries. If the device fails as soon as at least one of its batteries fail, what is the expected life of the device?g(x) = 3 4+1 if n < x < n + 1 given this function for all nonnegative integers n=0,1,2,3,... and g(x)=0 otherwise. (Hint: I strongly suggest that you graph this function.) 1. Can px(n)=g(n) be the probability mass function of a discrete random variable X that takes values in Z? If not, why, and if so, solve the E[X] and Var(X). 2. Can pY(y)=g(y) be the probability density function of a continuous random variable Y? If not, explain why, and if so, compute E[Y] and Var(Y).SEE MORE QUESTIONS

