Probability/Combinatorics: # ways of picking 5 from 3 groups of 6

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Homework Statement
We have a bag of 18 marbles: 6 red, 6 blue, and 6 yellow. Now I randomly select 5 marbles from the bag without replacement. What is the probability that I have picked out EXACTLY 2 colors?
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Hi,

I was attempting the following question and was getting slightly stuck.

Question: We have a bag of 18 marbles: 6 red, 6 blue, and 6 yellow. Now I randomly select 5 marbles from the bag without replacement. What is the probability that I have picked out EXACTLY 2 colors?

Attempt: I tried to think about this problem in two different ways:

1) Pure counting argument such that ##p = \frac{\text{Number of ways which we pick 2 colors}}{\text{Total number of ways of picking 5 from 18}} ##

So my logic was as follows:
- there are ##\begin{pmatrix} 3 \\ 2 \end{pmatrix}## ways of picking 2 out of the three colors
- Then for each of those pairs of colors (let us call them A and B), we can do: (1 from A, 4 from B), (2 from A, 3 from B), (3 from A, 2 from B), (4 from A, 1 from B). This can be written more formally as:
[tex]\begin{pmatrix} 6 \\ 1 \end{pmatrix} \cdot \begin{pmatrix} 6 \\ 4 \end{pmatrix} + \begin{pmatrix} 6 \\ 2 \end{pmatrix} \cdot \begin{pmatrix} 6 \\ 3 \end{pmatrix} + \begin{pmatrix} 6 \\ 3 \end{pmatrix} \cdot \begin{pmatrix} 6 \\ 2 \end{pmatrix} + \begin{pmatrix} 6 \\ 4 \end{pmatrix} \cdot \begin{pmatrix} 6 \\ 4 \end{pmatrix}[/tex]

and thus this becomes:
[tex]\begin{pmatrix} 3 \\ 2 \end{pmatrix} \left( \begin{pmatrix} 6 \\ 1 \end{pmatrix} \cdot \begin{pmatrix} 6 \\ 4 \end{pmatrix} + \begin{pmatrix} 6 \\ 2 \end{pmatrix} \cdot \begin{pmatrix} 6 \\ 3 \end{pmatrix} + \begin{pmatrix} 6 \\ 3 \end{pmatrix} \cdot \begin{pmatrix} 6 \\ 2 \end{pmatrix} + \begin{pmatrix} 6 \\ 4 \end{pmatrix} \cdot \begin{pmatrix} 6 \\ 4 \end{pmatrix} \right)[/tex]

I am slightly confused on how to get the total number of ways of picking 5 from 3 groups of 6. I mean I can see the obvious ## \begin{pmatrix} 18 \\ 5 \end{pmatrix} ##, but doesn't that double count some groupings?? This was asked as an interview question, so I don't think I would have time to write down very elaborate alternative methods.

This would lead to:
[tex]p = \frac{\begin{pmatrix} 3 \\ 2 \end{pmatrix} \left( \begin{pmatrix} 6 \\ 1 \end{pmatrix} \cdot \begin{pmatrix} 6 \\ 4 \end{pmatrix} + \begin{pmatrix} 6 \\ 2 \end{pmatrix} \cdot \begin{pmatrix} 6 \\ 3 \end{pmatrix} + \begin{pmatrix} 6 \\ 3 \end{pmatrix} \cdot \begin{pmatrix} 6 \\ 2 \end{pmatrix} + \begin{pmatrix} 6 \\ 4 \end{pmatrix} \cdot \begin{pmatrix} 6 \\ 4 \end{pmatrix} \right)}{\begin{pmatrix} 18 \\ 5 \end{pmatrix}} = \frac{65}{238}[/tex]

2) The other 'method' was to frame the problem like: "how many solutions are there to the equation ## x_1 + x_2 = 5 ## where ## x_1 \geq 1 ## and ## x_2 \geq 1 ##.
- so there are still ##\begin{pmatrix} 3 \\ 2 \end{pmatrix}## ways of picking 2 out of the three colors
- then there would be ##\begin{pmatrix} (5 - 2) + (2 - 1) \\ (2 - 1) \end{pmatrix} = \begin{pmatrix} 4 \\ 1 \end{pmatrix} ## ways choosing the groups...

- For the total number of ways to pick 5 from 18, we could use a similar framing of ## x_1 + x_2 + x_3 = 5 ##, but instead just have ## x_1 , x_2, x_3 \geq 0 ##. This leads to ## \begin{pmatrix} 5 + (3 - 1) \\ (3 - 1) \end{pmatrix} = \begin{pmatrix} 7 \\ 2 \end{pmatrix} ##

This would lead to:
[tex]p = \frac{\begin{pmatrix} 4 \\ 1 \end{pmatrix} \cdot \begin{pmatrix} 3 \\ 2 \end{pmatrix}}{\begin{pmatrix} 7 \\ 2 \end{pmatrix}} = \frac{4}{7}[/tex]

Can anyone help to reconcile which one of these methods is more appropriate for this problem?

Many thanks.
 
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I would simply do:$$P = 3P(R+B) = 3(P(RB) - 2P(R))$$I'll let you work out the notation!
 
PeroK said:
I would simply do:$$P = 3P(R+B) = 3(P(RB) - 2P(R))$$I'll let you work out the notation!
Thanks @PeroK ! Unfortunately, I have been looking at this for a while and am a bit confused. Here is what I have made of it. We are using the probability rule:

[tex]P(A \cup B) = P(A) + P(B) - P(A \cap B)[/tex]

You have P(R + B) as the ##P(R \cup B)##, but then I don't understand why the final term in the equation is ## P(R \cap B) - 2 \cdot P(R) ## instead of ## 2 P(R) - P(R \cap B) ##? (is that a correct understanding?
 
Master1022 said:
Thanks @PeroK ! Unfortunately, I have been looking at this for a while and am a bit confused. Here is what I have made of it. We are using the probability rule:

[tex]P(A \cup B) = P(A) + P(B) - P(A \cap B)[/tex]

You have P(R + B) as the ##P(R \cup B)##, but then I don't understand why the final term in the equation is ## P(R \cap B) - 2 \cdot P(R) ## instead of ## 2 P(R) - P(R \cap B) ##? (is that a correct understanding?
Well, ##R + B## must indicate one of the events you are looking for; namely, only Red and Blue balls and at least one of each. I'm not sure I understand the idea of translating to set notation? Why not leave things as they are?

Do you understand the factor of ##3##?

I didn't want to make it too easy, so I wrote ##-2P(R)## instead of the more suggestive ##-P(R) - P(B)##.
 
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PS I just checked the answer: ##65/238## is correct.
 
PeroK said:
Well, ##R + B## must indicate one of the events you are looking for; namely, only Red and Blue balls and at least one of each.
Oh I was thinking in terms of Venn diagrams, when R + B (with + being a union), but I guess that isn't what you meant? Then what does (RB) represent - I would have thought that meant both red and blue colored balls.

PeroK said:
I'm not sure I understand the idea of translating to set notation? Why not leave things as they are?
Hmm, that is what came to mind when I saw the form of that equation...

PeroK said:
Do you understand the factor of ##3##?
I think that is from the 3C2 = 3 (i.e. the number of ways to choose 2 colors from 3)

PeroK said:
I didn't want to make it too easy, so I wrote ##-2P(R)## instead of the more suggestive ##-P(R) - P(B)##.
I understood the symmetry part of it (##P(R) = P(B)##) so we can combine them. I think my question was why the equation was ##P(RB) - 2P(R)## instead of the other way around (i.e. ##2P(R) - P(RB)##)
 
Master1022 said:
I understood the symmetry part of it (##P(R) = P(B)##) so we can combine them. I think my question was why the equation was ##P(RB) - 2P(R)## instead of the other way around (i.e. ##2P(R) - P(RB)##)
I guess I should come clean:

##R + B## was only red and blue with at least one of each.

##RB## was only red and blue (i.e. no yellows) and includes the cases of all red and all blue. I guess I could have used ##no \ Y## instead.

##R## is all red.
 
Actually the 18C5 makes sense if I think about the Vandermonde Identity.