Exercise 3.1. Let X have possible values {1,2,3,4,5} and
probability mass function x 1 2 3 4 5 pX(x) 1/7 1/14 3/14 2/7 2/7
(a) Calculate P(X ≤ 3). (b) Calculate P(X < 3). (c) Calculate
P(X < 4.12|X > 1.638).
Exercise 3.1. Let X have possible values {1,2,3,4,5} and probability mass function x 1 2 3...
5. Consider the discrete random variable X with probability mass function p.) = (3/30 for r=1 6/30 for r= 2 8/30 for r=3 7/30 for r = 4 4/30 for r = 5 2/30 for r= 6 10 otherwise. You may find it helpful to use a table with columns for I, Px(), 2. Px(2), and r.Px() to keep track of your computations. Do not round off-express all values as rational fractions. a) Find the probability P(X<3. b) Find the...
5. Let X be a discrete random variable. The following table shows its possible values r and the associated probabilities P(X -f(x) 013 (a) Verify that f(x) is a probability mass function (b) Calculate P(X < 1), P(X < 1), and P(X < 0.5 or X > 2). (c) Find the cumulative distribution function of X ompute the mean and the variance of
5. Let X be a discrete random variable. The following table shows its possible values associated probabilities P(X)( and the f(x) 2/8 3/8 2/8 1/8 (a) Verify that f(x) is a probability mass function. (b) Calculate P(X < 1), P(X 1), and P(X < 0.5 or X >2) (c) Find the cumulative distribution function of X. (d) Compute the mean and the variance of X.
1. Let X be a discrete rv with possible values(-1,0,1,2), each with probability %. Let g(x) (a) Determine the possible values of the random variable Y-g(X) (b) Determine the probability distribution of Y. (c) Calculate the mean of Y.
5. Random variables X and Y have joint probability mass function otherwise (a) Find the value of the constant c. (b) Find and sketch the marginal probability mass function Py (u). (c) Find and sketch the marginal probability mass function Px (rk). (d) Find P(Y <X). (e) Find P(Y X) (g) Are X and Y independent? 2 内?
Let X ? Geometric(p) with probability mass function P(X =x)=p(1?p)x?1, x?N. (a) Verify that FX (x) = 1 ? (1 ? p)x, x ? {1, 2, 3, . . .}. (b) Graph FX(x) for x ? [?1,4] for p = 1/4. (c) Let X ?Geometric(1/4). Find P(X ? (3, 5]) and P(X is even).
please show you steps, and add some exppanation if
possible. Thank you!
5. Let X associated probabilities P(X = x)-/(2) be a discrete random variable. The following table shows its possible values r and the () 2/8 3/8 2/8 1/8 (a) Verify that f(x) is a probability mass function. (b) Calculate P(X < 1), P(X s 1), and P(X0.5 or Xx> 2) (c) Find the cumulative distribution function of X. (d) Compute the mean and the variance of X
7. Let X and Y have joint probability mass function fx,y(x,y) = (z+y)/30 for x = 0, 1, 2, 3 and y-0,1,2. Find (a) Pr(X 2, Y=1} (b) PríX > 2, Y 1) (c) PrXY-4) (d) PrX>Y. (e) the marginal probability mass function of Y, and (f) E[XY]
2. Let X have probability density function JX2) = 1/2 0<x< 1 3 < x < 4 otherwise Find the cumulative distribution function of X.
Let X and Y have joint probability mass function fX,Y (x, y) = (x + y)/30 for x = 0, 1, 2, 3 and y = 0,1,2. Find: (a) Pr{X ≤ 2, Y = 1}(b) Pr{X > 2, Y ≤ 1} (c) Pr{X +Y = 4}. (d) Pr{X > Y }. (e) the marginal probability mass function of Y , and (f) E[XY].