Probability Distribution of Random Variable X from a Double Dice Roll Experiment

  • Context: Undergrad 
  • Thread starter Thread starter ampakine
  • Start date Start date
  • Tags Tags
    Dice Pdf Roll
Click For Summary

Discussion Overview

The discussion revolves around determining the probability distribution of a random variable X defined by the higher value obtained from rolling two dice. The focus is on the calculation of probabilities for different outcomes of X based on the results of the dice rolls.

Discussion Character

  • Mathematical reasoning

Main Points Raised

  • One participant states that the range of the distribution is {1,2,3,4,5,6} and calculates P(X=1) as 1/36, asserting that both rolls must land on 1.
  • The same participant attempts to calculate P(X=2) by assuming one die must show 2, leading to a probability of 2/36, but questions the correctness of this approach.
  • Another participant points out that the initial calculation for P(X=2) is flawed because it does not account for the possibility of either die being the higher value, suggesting that both (2,1) and (1,2) should be considered.
  • A later reply introduces an alternative method for deriving the probability distribution by first finding the cumulative distribution function (cdf) and then deriving the probability mass function (pmf) from it.

Areas of Agreement / Disagreement

Participants do not reach a consensus on the correct method for calculating the probabilities, and multiple approaches are discussed without resolution.

Contextual Notes

Some calculations depend on the assumptions about the ordering of the dice rolls, and there are unresolved steps in deriving the probability distribution from the cumulative distribution function.

ampakine
Messages
60
Reaction score
0
The question is "An experiment in which a dice is tossed twice. Let X be the random variable defined by recording the higher of the 2 values obtained in the experiment. Determine the probability distribution of X."

I know that the range of this distribution is {1,2,3,4,5,6}. For P(X=1) both rolls will have to land on 1 so the probability is 1/36. As for P(X=2) I assumed that 1 dice has to land on 2 so that has a 1/6 probability and the other can land on either 1 or 2 so that's a 2/6 probability. Multiplying them together I get 2/36 but according to the answer I have for this question that's wrong. Heres the real answer:
http://imageshack.us/m/535/4747/distk.png
What am I doing wrong?
 
Physics news on Phys.org
hi ampakine! :smile:
ampakine said:
As for P(X=2) I assumed that 1 dice has to land on 2 so that has a 1/6 probability and the other can land on either 1 or 2 so that's a 2/6 probability. Multiplying them together I get 2/36 …

no, because your method assumes that the first number is higher (if they're not equal)

either number can be higher

in other words: you've counted (2,1) and (2,2) but not (1,2) :wink:
 
Ah right, that explains it. Thanks a lot!
 
An easier way to derive the probability of maximums (and works with both discrete and cts distributions) is to first find the cdf:

P[max(X,Y)<=x] = P[X<=x,Y<=x] = P[X<=x]^2

then take the differences or derivatives to get the pmf or pdf.
 

Similar threads

  • · Replies 6 ·
Replies
6
Views
3K
  • · Replies 6 ·
Replies
6
Views
2K
  • · Replies 16 ·
Replies
16
Views
4K
  • · Replies 2 ·
Replies
2
Views
4K
Replies
4
Views
2K
  • · Replies 41 ·
2
Replies
41
Views
6K
  • · Replies 1 ·
Replies
1
Views
6K
  • · Replies 42 ·
2
Replies
42
Views
5K
  • · Replies 10 ·
Replies
10
Views
3K
  • · Replies 6 ·
Replies
6
Views
4K