Joint Probability Distribution

Welcome to the "Joint Probability Distribution" category of Questions LLC! This is the perfect place for those eager to delve into the fascinating world of joint probability distributions. Whether you're a beginner seeking a solid foundation or an expert aiming to enhance your knowledge, this category is brimming with questions and answers that will satisfy your curiosity. Explore the intricacies of joint probability distributions, learn about the intertwined nature of multiple random variables, and unravel the secrets of probability relationships. Brace yourself for an exhilarating journey through the domain of joint probability distribution as you engage with fellow enthusiasts and unravel the complexities of this captivating topic!

Questions (23)

Suppose that X and Y are described by a joint PDF which is uniform inside the unit circle, that is, the set of points that
1. 9 answers
2. asked by Anon
3. 3,806 views
This figure below describes the joint PDF of the random variables X and Y. These random variables take values in [0,2] and
1. 5 answers
2. asked by RVE
3. 7,902 views
The random variables X and Y are jointly continuous, with a joint PDF of the formfX,Y(x,y)= {cxy if 0≤x≤y≤1 0 otherwise}
1. 4 answers
2. asked by pentium
3. 557 views
Sophia is vacationing in Monte Carlo. On any given night, she takes X dollars to the casino and returns with Y dollars. The
1. 7 answers
2. asked by Kina
3. 5,880 views
Paul is vacationing in Monte Carlo. On any given night, he takes X dollars to the casino and returns with Y dollars. The random
1. 3 answers
2. asked by Anonymous
3. 3,154 views
The random variables X and Y have the joint PMFpX,Y(x,y)={c⋅(x+y)2,0,if x∈{1,2,4} and y∈{1,3},otherwise. All answers in
1. 4 answers
2. asked by clyde
3. 6,687 views
This figure below describes the joint PDF of the random variables X and Y. These random variables take values over the unit
1. 7 answers
2. asked by anonymous
3. 1,071 views
This figure below describes the joint PDF of the random variables X and Y. These random variables take values in [0,2] and
1. 4 answers
2. asked by ubn
3. 2,257 views
Random variables X and Y are distributed according to the joint PDFfX,Y(x,y) = {ax,0,if 1≤x≤2 and 0≤y≤x,otherwise. 1
1. 3 answers
2. asked by JuanPro
3. 945 views
The random variables X and Y are distributed according to the joint PDF:It has the value of a*x^2 if 1 <= x <= 2 and 0 <= y <=
1. 7 answers
2. asked by silly_muffin
3. 87 views
The random variables X and Y are distributed according to the joint PDF:It has the value of a*x^2 if 1 <= x <= 2 and 0 <= y <=
1. 4 answers
2. asked by silly_muffin
3. 147 views
The joint PMF,p X , Y ( x , y ) , of the random variables X and Y is given by the following table: y = 1 4 c 0 2 c 8 c y = 0 3 c
1. 4 answers
2. asked by Anonymous
3. 2,051 views
Given the PDF fY(y) of Y:fY(y)= 0.2 ln(8) if y in [0, 3] 0.2 ln(8/y) if y in [3, 8] 0 otherwise Calculate P(|X−Y|≤1)
1. 4 answers
2. asked anonymously
3. 38 views
Random variables X and Y are distributed according to the joint PDFfX,Y(x,y) = {ax,0,if 1≤x≤2 and 0≤y≤x,otherwise.} 1.
1. 3 answers
2. asked by qwerty
3. 2,411 views
The random variables x and y are distributed according to the joint PDF
1. 3 answers
2. asked by Alvaro CA
3. 115 views
Consider the following joint PMF of the random variables X and Y:pX,Y(x,y)={1/72⋅(x2+y2),if x∈{1,2,4} and y∈{1,3}, 0,
1. 6 answers
2. asked by qwerty
3. 861 views
The Joint Probability function of two discrete random variable X and Y is given byf(x,y) = c(2x+y), for x= 0,1,2 and Y= 0,1,2,3.
1. 1 answer
2. asked by Arji
3. 344 views
In the transmission of digital information, the probability that a bit has high, moderate,and low distortion is 0.01, 0.04, and
1. 2 answers
2. asked by sam
3. 1,206 views
Consider the experiment of simultaneously tossing a die and a coin. Let X denote the number of heads and Y denote the number of
1. 1 answer
2. asked by Jenna
3. 525 views
The joint p.m.f. of X and Y is f(x, y) = 1/6, 0 ≤ x + y ≤ 2, where x and yare nonnegative integers. (a) Sketch the support
1. 1 answer
2. asked by Alex
3. 379 views
Joint probability density function is: x + y where 0<x<1 and 0<y<1 (0 elsewhere)Find variance of (30x + 25y) Answer is 11.48 ---
1. 1 answer
2. asked by Sean
3. 1,003 views
Let the two dimensional discrete random variable (X,Y) have the following jointprobability distribution. X Y 1 2 3 0 2p 0.1 0.25
1. 1 answer
2. asked anonymously
3. 28 views
. Let the two dimensional discrete random variable (X,Y) have the following jointprobability distribution. X Y 1 2 3 0 2p 0.1
1. 1 answer
2. asked anonymously
3. 33 views