Probability of Events A, B, C, D in a Uniform Probability Law

In summary: So you can see that the area of the yellow region is $\frac12\times\frac12=\frac14$. So the probability of A is $\frac34$. For B, you want $x>\frac13$ or $y>\frac13$ (or both). So the required probability is the fraction of the square that lies outside the two blue stripes (but not the yellow part!). So it is the combined area of the two unshaded parts, divided by the area of the whole square. For C, you want $x=y$. So the required probability is the fraction of the square that lies on the line $y=x$. For D, you want $x>\frac13$, so the required probability is the fraction of
  • #1
nacho-man
171
0
Alice and bob each choose a number at rndom between zero and two. We assume a uniform probability law under which the probability of an event is proportional to it sarea. Consider the following events:

A: The magnitude of the difference of the two numbers is greater than 1/3
B: At least one of the numbers is greater than 1/3
C: The two numbers are equal
D: Alice's number is greater than 1/3

So, find $ P(A), P(B), P(A\cap B) , P(C), P(D), P(A\cap D)$
 
Mathematics news on Phys.org
  • #2
nacho said:
Alice and bob each choose a number at rndom between zero and two. We assume a uniform probability law under which the probability of an event is proportional to it sarea. Consider the following events:

A: The magnitude of the difference of the two numbers is greater than 1/3
B: At least one of the numbers is greater than 1/3
C: The two numbers are equal
D: Alice's number is greater than 1/3

So, find $ P(A), P(B), P(A\cap B) , P(C), P(D), P(A\cap D)$

Let's give answers in increasing order of difficulty...

c) indicating with X and Y the two numbers the joint p.d.f. is...

$\displaystyle f (x,y) = \frac{1}{4}, 0 < x < 2,\ 0 < y < 2\ (1)$

... and 0 otherwise. The probability that X and Y are equal is the area of the segment y=x in the x,y plane... and the area of a segment is 0...

d) the marginal p.d.f. of X [the Alice's number...] is...

$\displaystyle f(x) = \frac{1}{2}, 0 < x < 2\ (2)$

... and 0 otherwise, so that...

$\displaystyle P \{ X > \frac{1}{3} \} = \int_{\frac{1}{3}}^{2} \frac{d x}{2} = \frac{5}{6}\ (3)$

b) taking into account what is written in c) we have that the requested probability is...

$\displaystyle P = 1 - \int_{0}^{\frac{1}{3}} \int_{0}^{\frac{1}{3}} \frac{d x\ d y}{4} = \frac{35}{36}\ (4)$

The point a) requires a little more effort and it will be attached in next post...

Kind regards

$\chi$ $\sigma$
 
  • #3
nacho said:
Alice and Bob each choose a number at random between zero and two. We assume a uniform probability law under which the probability of an event is proportional to its area. Consider the following events:

A: The magnitude of the difference of the two numbers is greater than 1/3
B: At least one of the numbers is greater than 1/3
C: The two numbers are equal
D: Alice's number is greater than 1/3

So, find $ P(A), P(B), P(A\cap B) , P(C), P(D), P(A\cap D)$

The question suggests representing the probability of an event by an area. So take Alice's number to be the $x$-coordinate and Bob's number to be the $y$-coordinate, in a $2\times2$ square, as in the diagram. For part A, you want $|x-y|>\frac13$, so you must avoid the region shaded yellow in the diagram. The required probability is then the fraction of the square that is not shaded yellow. So it is the combined area of the two unshaded triangles, divided by the area of the whole square. The other parts of the question can be done in a similar way.
 

Attachments

  • prob.gif
    prob.gif
    5 KB · Views: 121
Last edited:

Related to Probability of Events A, B, C, D in a Uniform Probability Law

1. What is a uniform probability question?

A uniform probability question is a type of statistical question that involves a finite number of equally likely outcomes, where each outcome has the same probability of occurring. This type of question can be used to determine the likelihood of a particular event happening.

2. How do I solve a uniform probability question?

To solve a uniform probability question, you will need to first determine the total number of possible outcomes and the number of desired outcomes. Then, you can divide the number of desired outcomes by the total number of possible outcomes to calculate the probability of the event occurring.

3. Can you give an example of a uniform probability question?

Sure! An example of a uniform probability question would be: If you roll a fair six-sided die, what is the probability of rolling a 3?

4. What is the difference between a uniform probability question and a non-uniform probability question?

The main difference between a uniform probability question and a non-uniform probability question is that in a uniform probability question, all outcomes have an equal chance of occurring. In a non-uniform probability question, the outcomes may have different probabilities of occurring.

5. Are there any applications of uniform probability questions?

Yes, uniform probability questions can be used in various real-life situations, such as predicting the outcome of a coin toss, drawing a certain card from a deck of cards, or rolling a specific number on a die. They are also used in fields such as statistics, economics, and gambling.

Similar threads

Replies
1
Views
1K
Replies
13
Views
1K
Replies
1
Views
1K
Replies
2
Views
1K
Replies
1
Views
509
Replies
2
Views
4K
Replies
4
Views
981
  • General Math
Replies
2
Views
3K
  • General Math
Replies
4
Views
1K
Back
Top