Homework Answers
![x = 2 P[x = x] = ka x = 2,4,5. P[ X = 2] = 2k P[X=4] = 4k P[x=5 ] =sk L x P[x=x Tokel 2 4 1 zk 4k s sk I since it is probabil](http://img.homeworklib.com/questions/593f39c0-71b4-11ea-93a4-975ed8959c9a.png?x-oss-process=image/resize,w_560)
![1 2 _2 4 _1 5 _S_ _PLx-»] ex) - 2XP Cxzx] - 2X2 + 444 + 5 : 4S E) = 14.09 9 9 | 1Ex2) : 2 22 Exzx 2ܡܢ - xf 25 + ܟ * I + 11 ܕ](http://img.homeworklib.com/questions/59d3f820-71b4-11ea-8268-2b3d10c580af.png?x-oss-process=image/resize,w_560)
![Date V(x) = Ecx? - Exit = 17.9091- [4.ogog] = 17.90g - 16.7355 V(x) = 1.1736 F(x) F(x ) E(x)](http://img.homeworklib.com/questions/5a6b5f00-71b4-11ea-930d-69c5df2727c1.png?x-oss-process=image/resize,w_560)
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sc I The discrete random variable X has the following probability mass function: P(X = x)...
The discrete random variable X has the following probability mass function:
The discrete random variable X has the following probability mass function: f(x) = kx, for the values of x = 2,4,5 and 6 only. Find the i. value of k. ii. construct the probability distribution of X iii. expected value and standard deviation X
A discrete random variable X has the following probability mass function: p(2) DETİ, for x EA; an...
A discrete random variable X has the following probability mass function: p(2) DETİ, for x EA; and zero otherwise. 2 T where C is a constant and A is the support of the distribution. Find the value of C if (c) A 12,3,4,5,...) (a) A (0,2,4,6,..
A discrete random variable X has the following probability mass function: p(2) DETİ, for x EA; and zero otherwise. 2 T where C is a constant and A is the support of the distribution....
2. The random variable, X has the following probability mass function (i) Find the value of...
2. The random variable, X has the following probability mass function (i) Find the value of the constant c. HINT: It will help to use the identity = (i) Find the cumulative distribution function of X and sketch both the probability mass function and the cumulative distribution function NOTE: Think carefully about the values of r for which you need to define the distribution function. (ii) Calculate P(X 2 50) and PX 2 50 x2 40
discrete random variable has probability mass function, P(X = n) = ?1?n. ? 1, forxeven Let...
discrete random variable has probability mass function, P(X =
n) = ?1?n.
? 1, forxeven Let Y = −1, for x odd
Find the expected value of Y ; (E[y]).
probability function mass A discrete random variable has P ( X = n) = (3) for x Y = { for Find the expected value of Y CE(y)] Let even x odd
5. Let X be a discrete random variable. The following table shows its possible values r...
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
Discrete Random Variable. The random variable x has the discrete probability distribution shown here: x -2...
Discrete Random Variable. The random variable x has the discrete probability distribution shown here: x -2 -1 0 1 2 p(x) 0.1 0.15 0.4 0.3 0.05 Find P(-1<=x<=1) Find P(x<2) Find the expected value (mean) of this discrete random variable. Find the variance of this discrete random variable
5. Consider the discrete random variable X with probability mass function p.) = (3/30 for r=1...
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...
Suppose that a random variable X has a discrete distribution with the following probability mass function:
Suppose that a random variable X has a discrete distribution with the following probability mass function: Find the value of the constant C.
Consider a discrete random variable X with the probability mass function p X ( x )...
Consider a discrete random variable X with the probability mass function p X ( x ) = x/C , x = 3, 4, 5, 6, 7, zero elsewhere. consider Y = g( X ) = 100/(x^2+1) . b) Find the probability distribution of Y.
Suppose that the probability mass function for a discrete random variable X is given by p(x) ...
Suppose that the probability mass function for a discrete random variable X is given by p(x) = c x, x = 1, 2, ... , 6. Find the value of the cdf F(x) for 3 ≤ x < 4.
A discrete random variable X has the following probability mass function: p(2) DETİ, for x EA; and zero otherwise. 2 T where C is a constant and A is the support of the distribution. Find the value of C if (c) A 12,3,4,5,...) (a) A (0,2,4,6,..
A discrete random variable X has the following probability mass function: p(2) DETİ, for x EA; and zero otherwise. 2 T where C is a constant and A is the support of the distribution....
2. The random variable, X has the following probability mass function (i) Find the value of the constant c. HINT: It will help to use the identity = (i) Find the cumulative distribution function of X and sketch both the probability mass function and the cumulative distribution function NOTE: Think carefully about the values of r for which you need to define the distribution function. (ii) Calculate P(X 2 50) and PX 2 50 x2 40
discrete random variable has probability mass function, P(X =
n) = ?1?n.
? 1, forxeven Let Y = −1, for x odd
Find the expected value of Y ; (E[y]).
probability function mass A discrete random variable has P ( X = n) = (3) for x Y = { for Find the expected value of Y CE(y)] Let even x odd
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. 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...
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