Probability mass function question. In the game of Risk, battles are decided by

In summary: Risk and how battles are decided by rolling dice. The red army rolls three dice and the blue army rolls two dice. The highest number rolled on a single die determines the winner, with the blue army winning in the event of a tie. We have found the probability mass functions for the red and blue armies and used the sum rule to calculate the probability of either army winning. We have also discussed the use of the cumulative density function in this problem.
  • #1
cloud360
212
0

Homework Statement



In the game of Risk, battles are decided by the rolling of dice. Suppose that there are two armies,
red and blue. The red army rolls three dice and the blue army rolls two dice. Whichever army rolls
the highest number (on a single die) is declared the winner. In the event of a tie (both armies have
the same highest number), the blue army is declared the winner.
(a) Let X denote the highest number rolled by the red army. Find the probability mass function
of X.
(b) Let Y denote the highest number rolled by the blue army. Find the probability mass function
of Y .
(c) Calculate the probability that the red army wins.

Homework Equations


pmf = px(s), where s= number of times you want variable x to appear, the function represent the probability of this
cdf= fx(s), where this represent probability x is less than or equal to s

The Attempt at a Solution


Red army rolls 3 times
Blue army rolls 2 times.
Red army
x1=1st die thrown =1,2,3,4,5,6
x2=2nd die thrown=1,2,3,4,5,6
x3=3rd die thrown=1,2,3,4,5,6

Px(x)=Fx(x)^3

is this correct, i don't know why you do this. but i think you must do this, then create a PMF (probability mass function) table?

Why is the pmf function = to Fx(x)^3, this is what i saw in my teachers explanation. but his explanation wasn't... perfect
 
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  • #2
so start with a simple case and work from there, blue army will be simpler with only 2 rolls

treating the dice seperately, there are 6x6 = 36 combinations that can come up

now to get a 1, there is only one possible combination 1-1, so the probabilty is 1/36
to get a 2, there are 3: 2-1, 2-2, 1-2, so the prob is 3/36

use these simple cases to think about the problem & generalise from there...
 
  • #3
it will also be useful to consider the sum rule
P(A or B) = P(A) + P(B) - P(A and B)
 
  • #4
lanedance said:
it will also be useful to consider the sum rule
P(A or B) = P(A) + P(B) - P(A and B)

why would i use the sum forumale. and also. how can i find the probability red army or blue army wins.

do i look at all the instances where the pmf of blue army is higher ?
 
  • #5
cloud360 said:
why would i use the sum forumale. and also. how can i find the probability red army or blue army wins.

do i look at all the instances where the pmf of blue army is higher ?

Have go at something and i will help u work through it

I would start by finding each PDF first, then use them to calculate prob of who wins
 
  • #6
lanedance said:
Have go at something and i will help u work through it

I would start by finding each PDF first, then use them to calculate prob of who wins

i am not allowed to use pdf in this question.

the question must be answered using pmf or cdf. i will try post a solution in 1 hour, and if you have time. please kindly tell me where i went wrong. my exam is tommorow.

again, thanks for taking your time to help me. i am very grateful
 
  • #7
My solution
Question 1
max of 1=1/216
max of 2=7/216
max of 3=5/54
max of 4=11/54
max of 5=3/8
max of 6=5/8
Question 2
max of 1=cdf((1/6)^2)=1/36
max of 2=cdf((2/6)^2)-(1/36)=(1/12)
max of 3=cdf((3/6)^2)-(1/12)=(1/6)
max of 4=cdf((4/6)^2)-(1/6)=(5/15)
max of 5=cdf((5/6)^2)-(5/15)=(13/36)
max of 6=cdf((6/6)^2)-(13/36)=(23/26)
Question 3
 
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  • #8
lanedance said:
so start with a simple case and work from there, blue army will be simpler with only 2 rolls

treating the dice seperately, there are 6x6 = 36 combinations that can come up

now to get a 1, there is only one possible combination 1-1, so the probabilty is 1/36
to get a 2, there are 3: 2-1, 2-2, 1-2, so the prob is 3/36

use these simple cases to think about the problem & generalise from there...
wow, i just couldn't see that it is the maximum after a certian number of throws literally.

and that their is loads of different ways to get a max of 2 ,3,4 e.t.c
 
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  • #9
cloud360 said:
My solution
Question 1
max of 1=1/216
max of 2=7/216
max of 3=5/54
max of 4=11/54
max of 5=3/8
max of 6=5/8
this isn't correct, note you probs sum to greater than 1

try and explain what you are doing

cloud360 said:
Question 2
max of 1=cdf((1/6)^2)=1/36
max of 2=cdf((2/6)^2)-(1/36)=(1/12)
max of 3=cdf((3/6)^2)-(1/12)=(1/6)
max of 4=cdf((4/6)^2)-(1/6)=(5/15)
max of 5=cdf((5/6)^2)-(5/15)=(13/36)
max of 6=cdf((6/6)^2)-(13/36)=(23/26)
Question 3

I don't know what this is?
 
  • #10
using the sum rule for the 2 die case
P(A or B) = P(A) + P(B) - P(A and B)
re-writing
P(A and B) = P(A) + P(B) - P(A or B)


so let the dice be numbered d1 & d2, then the propositions to interrogate are
A: ((d1=n)and(d2<=n))
B: ((d1<=n)and(d2=n))
If either A or B is true, then n is the maximum number

the final probability we want to find is:
P(n) = P(A or B)
= P( ((d1=n)and(d2<=n)) or ((d1=n)and(d2<=n)) )
= P( (d1=n)and(d2<=n) ) + P ( (d1=n)and(d2<=n) ) - P( ((d1=n)and(d2<=n)) and ((d1=n)and(d2<=n)) )

reducing the and terms & using the fact the events on each dice are independent
= P(d1=n).P(d2<=n) + P (d1=n).P(d2<=n) - P(d1=n)P(d2=n)
= n/36 + n/36- 1/36
= (2n-1)/36

now try for the three dice case...
 
  • #11
cloud360 said:
i am not allowed to use pdf in this question.

the question must be answered using pmf or cdf. i will try post a solution in 1 hour, and if you have time. please kindly tell me where i went wrong. my exam is tommorow.

again, thanks for taking your time to help me. i am very grateful

pdf & pmf mean the same thing
 

1. What is a probability mass function?

A probability mass function (PMF) is a mathematical function that describes the probability distribution of a discrete random variable. It assigns a probability to each possible outcome of the random variable.

2. How is a PMF used in the game of Risk?

In the game of Risk, a PMF is used to determine the likelihood of winning a battle between two players. The PMF takes into account factors such as the number of attacking and defending armies, as well as the probability of rolling certain dice combinations.

3. What is the difference between a PMF and a probability density function?

A PMF is used for discrete random variables, while a probability density function (PDF) is used for continuous random variables. A PMF gives the probability of a specific outcome, while a PDF gives the probability of a range of outcomes.

4. Can a PMF be used to predict the outcome of a battle in Risk with 100% accuracy?

No, a PMF cannot predict the outcome of a battle in Risk with 100% accuracy. It is based on probabilities and does not take into account other factors such as player strategy or luck.

5. How can a PMF be visualized?

A PMF can be visualized through a probability histogram, where the x-axis represents the possible outcomes and the y-axis represents the probability of each outcome. It can also be represented through a probability table or a graph.

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