Conditional probablity loaded die problem

  • Thread starter Thread starter raptor1770
  • Start date Start date
  • Tags Tags
    Conditional
Click For Summary

Homework Help Overview

The problem involves conditional probability with three dice: two fair dice and one loaded die. The task is to find the probability that Fran rolls a 6, both generally and given that Ron rolls a 6. Participants are exploring the implications of using Bayes' theorem in this context.

Discussion Character

  • Exploratory, Assumption checking, Mathematical reasoning

Approaches and Questions Raised

  • Participants discuss the probabilities associated with rolling a 6 on different types of dice and the implications of choosing a loaded versus an unloaded die. There are attempts to apply Bayes' theorem to derive the probabilities for both questions posed.

Discussion Status

Some participants have provided calculations and reasoning regarding the probabilities, while others have suggested considering different scenarios based on which die Ron rolls. There is acknowledgment of the complexity of the second question, with guidance offered to explore various cases.

Contextual Notes

There is a mention of the need to clarify the probabilities involved when one die is known to be loaded or unloaded, and how that affects the overall calculations. The discussion reflects uncertainty about specific probabilities and the application of Bayes' theorem.

raptor1770
Messages
4
Reaction score
0
This is part of the study guide for an exam and I'm not sure how to start.

Homework Statement



Consider three identical-looking dice. Two of the dice are ordinary fair dice (six equally-likely faces, numbered 1,2,...,6), but the third die is "loaded" (the face that ordinarily has a 1 has a 6 instead; that is, the loaded die has two 6's, on opposite faces). Fran and Ron each choose a die at random, and the remaining die is discarded.
Suppose that Fran and Ron roll their dice simultaneously

1. Find the probability that Fran rolls a 6.


4. Find the probability that Fran rolls a 6 if it is known that Ron rolled a 6.

Am I supposed to use Baye's theorem to solve this problem? Thank you for any help.
 
Physics news on Phys.org
You have not made an attempt to solve the problem.
 
Well I'm really at a loss as to where to start but I'll give you what I got so far.

The probability of rolling a six on a normal die is 1/6
on a fixed die it is 1/3

The probability that Fran picked the loaded die is 1/3; the regular die 2/3.

So the total probability of rolling a 6 is probability of 6 on loaded multiplied by chance to pick loaded plus probability of 6 on unloaded die multiplied by chance to pick unloaded.

or

Code:
(1/3*1/3) + (2/3*1/6) = .2222

Let me know if I am on the right track. Thank you.

EDIT: Still working on 4.
 
looks good. Make sure to remember that there are different ways in which number 4 can happen. this depends on if ron has the loaded die or not.
 
For question 4 I think the solution is something like this.

Let L = Loaded
U = Unloaded
p = probability

The probability of rolling 6 given 6 is

= \frac{p(6|6) p(6)}{p(6|L) p(L) + p(6|U) p(U)}

This is derived using Baye's theorem. I think the numerator is incorrect because I don't know what the probability of 6 given a roll of 6 is.
 
if you do the math out for me then I'll guide you. That really doesn't help me troubleshoot your method.

What I would suggest doing is finding the probability of rolling a 6 given that Ron rolled the loaded die, and then find the probability of rolling a 6 if Ron rolled a regular die.

Then there is another step but I think you can get it. Its actually very very similar to question 1.
 
OK based on your suggestion I calculated the probability of rolling a 6 based on Ron getting the loaded die and the unloaded die. I think it's right please let me know.

If Ron got the loaded die:
(1/6 * 1) + (1/3 * 0) = 1/6

If Ron got the unloaded die:
(1/6 * 1/2) + (1/3 * 1/2) = 1/4

So from that information I can calculate the total probability which is:
The probability of rolling a 6 if Ron got the loaded multiplied by the probability of Ron getting a loaded die, plus the probability of rolling a 6 if Ron got the unloaded multiplied by the probability of Ron getting the unloaded or:

(1/6)*(1/3) + (1/4)*(2/3) = .222

Thanks
 
perfect.
 

Similar threads

Replies
11
Views
3K
Replies
2
Views
3K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K
Replies
9
Views
4K
  • · Replies 31 ·
2
Replies
31
Views
3K
  • · Replies 11 ·
Replies
11
Views
3K
  • · Replies 18 ·
Replies
18
Views
4K
  • · Replies 6 ·
Replies
6
Views
3K
  • · Replies 4 ·
Replies
4
Views
4K