Let X be a discrete random variable with p.m.f given by
f(x) = {1/20(1+x) 0 elsewhere for x= 1,2,3,4,5
Determine the c.d.f of X hence compute P(X >3)
We need at least 9 more requests to produce the answer.
1 / 10 have requested this problem solution
The more requests, the faster the answer.
Problem 3. The random variable X has density function f given by 0, elsewhere (a) Assuming that 6 0.8, determine K (b) Find Fx(t), the c.d.f. of X (c) Calculate P(0.4 <X < 0.8)
1. (6 pts) Consider a non-negative, discrete random variable X with codomain {0, 1, 2, 3, 4, 5, 6} and the following incomplete cumulative distribution function (c.d.f.): 0 0.1 1 0.2 2 ? 3 0.2 4 0.5 5 0.7 6 ? F(x) (a) Find the two missing values in the above table. (b) Let Y = (X2 + X)/2 be a new random variable defined in terms of X. Is Y a discrete or continuous random variable? Provide the probability...
Problem 3. The random variable X has density function f given by 0,elsewhere (a) Assuming that θ-0.8, determine K (b) Find Fx(t), the c.d.f. of X (c) Calculate P(0.4sX s 0.8)
Problem 3. The random variable X has density function f given by y, for 0 ys 0, elsewhere (a) Assuming that θ-0.8, determine K (b) Find Fx(t), the c.d.f. of X (C) Calculate P(0.4 SXS 0.8)
2). Consider a discrete random variable X whose cumulative distribution function (CDF) is given by 0 if x < 0 0.2 if 0 < x < 1 Ex(x) = {0.5 if 1 < x < 2 0.9 if 2 < x <3 11 if x > 3 a)Give the probability mass function of X, explicitly. b) Compute P(2 < X < 3). c) Compute P(x > 2). d) Compute P(X21|XS 2).
Cumulative distribution function The probability distribution of a discrete random variable X is given below: Value x of X P(x-x) 0.24 0.11 -2 0.26 0.11 Let Fx be the cumulative distribution function of X. Compute the following: X 5 ? 18+ (-2) - Px (-4) = 0
Please help me solve this question thanks Problem 3. The random variable X has density function f given by 0, elsewhere (a) Assuming that θ 0.8, determine K (b) Find Fx(t), the c.d.f. of X (c) Calculate P(0.4SX 0.8)
(25 pts) Determine the expectation, variance, standard deviation, and cumulative distribution function (c.d.f.) for each of the following: 0 f(x)0.44 0.360.150.04 0.01 (b) f(x) = f for x = 1, 2, 3, 4 (c) f(x)-345 for1,2,4,5 d) A random variable that represents the outcome of rolling one (fair) die. (e) A random variable that represents the outcome of rolling two (fair) dice.
Determine the expectation, variance, standard deviation, and cumulative distribution function (c.d.f.) for each of the following: (a) x 0 1 2 3 4 f(x) 0.44 0.36 0.15 0.04 0.01 (b) f(x) = x 10 for x = 1, 2, 3, 4 (c) f(x) = 2 5x2−30x+45 for x = 1, 2, 4, 5 (d) A random variable that represents the outcome of rolling one (fair) die. (e) A random variable that represents the outcome of rolling two (fair) dice.
4a). Let X1 and X2 be independent random variables with a common cumulative distribution function (i.e., c.d.f.) F(y) = { 0" if0cyotherwise。 Find the p.d. f. of X(2,-max(X, , xa). Are X(1)/X(2) and X(2) independent, where X(1,-min(X,, X2) ? 4a). Let X1 and X2 be independent random variables with a common cumulative distribution function (i.e., c.d.f.) F(y) = { 0" if0cyotherwise。 Find the p.d. f. of X(2,-max(X, , xa). Are X(1)/X(2) and X(2) independent, where X(1,-min(X,, X2) ?