Joint PMF: Value of c, P[Y<X], P[Y>X], P[Y=X], P[X<1]

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In summary, the joint PMF of random variables X and Y is given by PX,Y(x,y) = c|x+y| for x=-2,0,2 and y=-1,0,1 with 0 otherwise. To determine the value of constant c, we need to set the sum of the entire space equal to 1. This can be done by setting up a table and solving for c. Once we have the value of c, we can calculate probabilities such as P[Y<X], P[Y>X], P[Y=X], and P[X<1].
  • #1
hxluo
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Random variables X and Y have the joint PMF

PX,Y(x,y) = c|x+y| x=-2,0,2; y=-1,0,1. 0 otherwise

1) what is the value of constant c?
2)what is P[Y<X]?
3)What is P[Y>X]?
4)what is P[Y=X]?
5)what is P[X<1]?
 
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  • #2
What did you try?
For a Probability Mass Function to BE a PMF, the sum over the ENTIRE space HAS to be 1...
What can you do to solve the first problem about C?...You have to sum it up ALL TOGETHER and set it to 1. (you might like to set it up in table form)...then,
Solve for C...the rest will fall out of that.
CC
 

What is the value of c in Joint PMF?

The value of c in Joint PMF represents the normalization constant used to ensure that the probabilities sum up to 1. It is calculated by taking the inverse of the sum of all the probabilities in the Joint PMF.

What does P[Y

P[Y

What is the meaning of P[Y>X] in Joint PMF?

P[Y>X] in Joint PMF is the probability that the random variable Y is greater than the random variable X. It shows the chance of Y being larger than X in a given situation.

What does P[Y=X] indicate in Joint PMF?

P[Y=X] in Joint PMF represents the probability that the random variable Y is equal to the random variable X. It shows the likelihood of Y and X having the same value in a given scenario.

What is the significance of P[X<1] in Joint PMF?

P[X<1] in Joint PMF is the probability that the random variable X is less than 1. It indicates the chance of X being smaller than 1 in a given situation.

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