3.2. The probability mass function of the random variable X is given as follows. X -3 6 9 p(x) = Pr(X=x) 1/6 1/2 1/3 a) Compute the values of E(X) and E(X²). b) Compute the value of E{(2x+1)²} by using the theorems related to the expected value. 3.3. The probability mass function of the discrete random variable X is given as follows. -2 1 2 4 p(x) = Pr(X=x) 1/4 1/8 1/2 1/8 Plot the cumulative distribution function, Fx(x) of the random variable, X.
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- Repeat Example 5 when microphone A receives the sound 4 seconds before microphone B.Let X be a Geometric random variable with parameter p = 1/4. Find E(4X + 1)² and V(3 + 2X). Two fair dice are rolled. Let X be the maximum of the results of two dice. (a) Probability Mass Function (b) E(X) (c) V(X).10. Let and be independent random variables representing the lifetime (in 100 hours) of Type A and Type B light bulbs, respectively. Both variables have exponential distributions, and the mean of X is 2 and the mean of Y is 3. a) Find the joint pdf f(x, y) of X and Y. b) Find the conditional pdf f₂ (ylx) of Y.. c) Find the probability that a Type A bulb lasts at least 300 hours and a Type B bulb lasts at least 400 hours. d) Given that a Type B bulb fails at 300 hours, find the probability that a Type A bulb lasts longer than 300 hours. e) What is the expected total lifetime of two Type A bulbs and one Type B bulb?
- Q.1 The probability mass function for a discrete random variable X is defined as ((1+0)" (^) 0x; x = 0, 1, 2, 3, ..., n fx(x) = {(1 + 0; e. w. where > 0. Show that it is probability mass function. Find its mean and variance.67. Let X be a discrete random variable with pmf (a) Find the pmf for Y = X². (b) Find the pmf for U = X + 2. f(x) = px(x) = 1/8, 1/4, 1/4, 1/4, 1/8, 0, x = -2 x = -1 x = 0 x = 1 x = 2 otherwiseLet X be a random variable taking positive values and assume that E(X) exists. Which of the following statements are true? • (i) E(X*) > (E(X))*. • (ii) E(1/X²) > 1/E(X²). • (ii) E(e-3X) > e°
- 1.4 Let X be a continuous random variable with pdf, fx(x), and fx(t+5) = fx(5 – t) for all t> 0. Please provide the mean of X.Suppose X and Y are two random variables with E[X] = 1, Var (X) = 4, E[Y ] = -1, Var (Y) 4, and Cov (X, Y) = 1. Find the standard deviation of (X - Y). = (a) 2 (b) √2 (c) 6 (d) √6 (e) None of the above3. Let the random variable X have the pmf f(x) = a) E(X) b) E(X²) c) E(3X²2X + 4) (x+1)² 9 for x = -1,0,1. Compute
- Fact: If X is a compound random variable with X = ₁X₁, then E(X) = E(X₂) E(N) i=1 a. when X₁ are all discrete b. when X₁ are all continuousLet X be a positive random variable (i.e. P(X 1/E(X) (b) E(-log(X)) 2 -log(E(X)) (c) E(log(1/X)) > log(1/E(X)) (d) E(X³) > (E(X))³Suppose that a random variable X is an Exponential Random Variable with parameter β = 3.(a) What is E(X)?(b) Compute P(X > 2).(c) Compute P(X > 5 |X > 3).