Uniformly Distribution Problem

In summary, the probability for the sum of two randomly selected numbers being 3 is 0 and the probability for the sum being greater than 3 is 0.625. This is based on the fact that the joint probability density is uniform and the support given for the two random variables is 0 to 3 and 0 to 4 respectively. The work shown is based on the formula 3*4 - p(y<=3) = 12 - 3*3/2 = 12-4.5= 7.5/12 = .625.
  • #1
Askhwhelp
86
0
A random variable X drawn from a uniform [0,3] distribution and a random variable y is independently drawn randomly drawn from a uniform [0,4] distribution. The joint probability density f(x,y) is also uniform, with support given by 0 ≤ x ≤ 3, 0 ≤ y ≤ 4. Find the probability for the sum of two randomly selected number is 3
This should be 0 because a line does not have any area, right?
Find the probability for the sum of two randomly selected number greater than 3
12-4.5 = 7.5/12 = .625, right?
 
Last edited:
Physics news on Phys.org
  • #2
Askhwhelp said:
A random variable X drawn from a uniform [0,3] distribution and a random variable y is independently drawn randomly drawn from a uniform [0,4] distribution. The joint probability density f(x,y) is also uniform, with support given by 0 ≤ x ≤ 3, 0 ≤ y ≤ 4. Find the probability for the sum of two randomly selected number is 3
This should be 0 because a line does not have any area, right?
Find the probability for the sum of two randomly selected number greater than 3
12-4.5 = 7.5, right?

Show your work.
 
  • #3
ray vickson said:
show your work.

3*4 - p(y<=3) = 12 - 3*3/2 = 12-4.5= 7.5/12 = .625
 
Last edited:
  • #4
Please check it thx
 

What is a uniformly distributed problem?

A uniformly distributed problem is a type of probability distribution in which each possible outcome has an equal chance of occurring. This means that the probability of obtaining any particular value is the same as obtaining any other value.

How is a uniformly distributed problem different from other types of distributions?

Unlike other distributions, such as a normal distribution, a uniformly distributed problem does not have a peak or center point. Instead, all values have the same probability of occurring.

What is an example of a real-world uniformly distributed problem?

An example of a real-world uniformly distributed problem is the rolling of a fair six-sided die. Each side has an equal probability of landing face up, making it a uniformly distributed problem.

How is a uniformly distributed problem used in research and experiments?

In research and experiments, a uniformly distributed problem can be used to model situations where all possible outcomes have an equal chance of occurring, such as in random sampling or in the selection of a control group.

What are the limitations of a uniformly distributed problem?

One limitation of a uniformly distributed problem is that it may not accurately represent all real-world situations, as many variables in nature do not have an equal chance of occurring. Additionally, it may not be suitable for modeling data with an underlying pattern or trend.

Similar threads

  • Calculus and Beyond Homework Help
Replies
5
Views
881
  • Calculus and Beyond Homework Help
Replies
5
Views
1K
  • Calculus and Beyond Homework Help
Replies
1
Views
565
  • Calculus and Beyond Homework Help
Replies
8
Views
1K
  • Calculus and Beyond Homework Help
Replies
9
Views
2K
  • Calculus and Beyond Homework Help
Replies
2
Views
1K
  • Calculus and Beyond Homework Help
Replies
5
Views
214
  • Calculus and Beyond Homework Help
Replies
6
Views
1K
  • Calculus and Beyond Homework Help
Replies
7
Views
1K
  • Calculus and Beyond Homework Help
Replies
1
Views
726
Back
Top