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question for MIT probability class
thanks for any help
i've got 20 balls, 2 white, 8 red, 6 black, and 4 green. I have 4 distinguishable urns. The balls are placed randomly among the urns, and each urn can have any number of balls. What is the probability that no urn will contain both green and black balls? |
#2
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Re: question for MIT probability class
[ QUOTE ]
What is the probability that no urn will contain both green and black balls? [/ QUOTE ] You can ignore the colors other than green and black. I think the easiest approach is to determine the distribution of the number of urns containing green balls. Conditioned on these cases, you can compute the probability that the black balls are in the other urns. |
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Re: question for MIT probability class
this is along the lines of what i was trying to do. The red and white balls are meaningless.
But I dont really know how to come up with the distribution for the 6 balls. Where I started was counting up the chances that every urn has a green ball in it, which means that there must be at least one urn with both. COunting backwards in this way seems like it may take a long time. |
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Re: question for MIT probability class
[ QUOTE ]
[ QUOTE ] I think the easiest approach is to determine the distribution of the number of urns containing green balls. Conditioned on these cases, you can compute the probability that the black balls are in the other urns. [/ QUOTE ] But I dont really know how to come up with the distribution for the 6 balls. [/ QUOTE ] You don't need this distribution to compute the answer. You can use the distribution of the number of urns containing at least one of the 4 green balls, which is simple enough to compute in an ad hoc fashion. For example, you can compute the probability that precisely two urns contain a green ball, then compute the probability that the 6 black balls are in the other 2 urns. It's easier to compute 1, 2, and 4, and then you can subtract these probabilities to get 3. If you want a more general method to determine the distribution, you can imagine placing the balls of one color in the urns one at a time while keeping track of the number of urns containing at least one. If you have U urns and N are occupied, the probability of moving to the state of N+1 occupied is (U-N)/U, and the probability of staying at N occupied is N/U. You can encode these transitions in a transfer matrix, and adding B balls corresponds to applying the Bth power of the transfer matrix. It's also easily computable by hand when B is small. These seem like combinatorics problems, not probability problems. |
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Re: question for MIT probability class
phzon's approach is easy. You can choose to make the urns and balls distinguishable or not, I think it's easier to make them both distinguishable.
Let's start with the four green balls. They can be placed in all four urns in 24 different ways. They can be placed in three urns 144 different ways (4 different ways to eliminate one urn, 3 different ways to pick one urn to hold two balls, 4 different ways to pick the first stand-alone ball, 3 different ways to pick the second stand-alone ball). They can be placed in two urns 84 different ways and in one urn 4 different ways. These add up, as they should, to 4^4 = 256. If they end up in four urns, the probability of no urn having both green and black balls is zero. If they end up in three, it's (1/4)^6. If they end up in 2 it's (1/2)^6. If they end up in 1 it's (3/4)^6. Multiplying and adding up gives about 0.8%. |
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Re: question for MIT probability class
thanks guys
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Re: question for MIT probability class
[ QUOTE ]
thanks for any help i've got 20 balls, 2 white, 8 red, 6 black, and 4 green. I have 4 distinguishable urns. The balls are placed randomly among the urns, and each urn can have any number of balls. What is the probability that no urn will contain both green and black balls? [/ QUOTE ] There are 4^10 total ways to place the 10 black and green balls in 4 cups. We will partition the favorable outcomes into 3 cases: All 4 greens in 1 cup: 4 ways to pick green cup times 3^6 ways to place 6 black balls in other 3 cups = 4*3^6 All 4 greens in 2 cups: C(4,2) ways to pick 2 green cups times 2^4<font color="red"> - 2</font> ways to place 4 green balls in 2 green cups times 2^6 ways to place 6 black balls in other 2 cups. <font color="blue">Note that the -2 subtracts off the cases where all 4 greens go into just one of the two urns, since these were counted in the last case.</font> = C(4,2)*(2^4 - 2)*2^6 All 4 greens in 3 cups: C(4,3) ways to pick 3 green cups times 3^4<font color="red"> - C(3,2)*2^4 + 3</font> ways to place 4 green balls in 3 green cups times 1 way to place 6 black balls in 1 cup. <font color="blue">Note that the -C(3,2)*2^4 subtracts off the cases where all of the green balls go into only two of the three urns, and these in turn include cases where they all go into just one urn, since these were counted by the previous two cases. The +3 adds back the number of cases where they all go into one urn since these were subtracted twice by the C(3,2)*2^4.</font> = C(4,3)*[3^4 - C(3,2)*2^4 + 3]*1 Total probability = [4*3^6 + C(4,2)*(2^4<font color="red"> - 2</font>)*2^6 + C(4,3)*(3^4<font color="red"> - C(3,2)*2^4 + 3</font>)*1] / 4^10 = 8436 / 4^10 = <font color="red">2109 / 262,144 =~ 0.80%.</font> |
#8
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Re: question for MIT probability class
[ QUOTE ]
[ QUOTE ] thanks for any help i've got 20 balls, 2 white, 8 red, 6 black, and 4 green. I have 4 distinguishable urns. The balls are placed randomly among the urns, and each urn can have any number of balls. What is the probability that no urn will contain both green and black balls? [/ QUOTE ] There are 4^10 total ways to place the 10 black and green balls in 4 cups. We will partition the favorable outcomes into 3 cases: . . [/ QUOTE ] Hmm, I'm pretty sure that the answer you're getting is incorrect for several reasons: The cases that all the green balls are in two urns include the cases where all the green balls are in one urn. It also appears that you're treating the urns, and balls as distinguishable for calculating the number of possible arrangements, but calculating the 'successful' cases as if the urns were indistinguishable. |
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Re: question for MIT probability class
[ QUOTE ]
[ QUOTE ] There are 4^10 total ways to place the 10 black and green balls in 4 cups. We will partition the favorable outcomes into 3 cases: . . [/ QUOTE ] Hmm, I'm pretty sure that the answer you're getting is incorrect for several reasons: The cases that all the green balls are in two urns include the cases where all the green balls are in one urn. [/ QUOTE ] I just realized that I had this problem and came in to fix it before I saw your post. The case where all the green balls are in three urns also includes the cases where all the green balls are in two or one urn. See my corrections in red in the original post which properly subtract these cases. This was the only type of error. The change of 0.1% makes the final answer identical to Aaron’s. Also, his counting of the number of ways to put all 4 greens in 1-3 urns are also identical to mine (4, 84, 144). [ QUOTE ] It also appears that you're treating the urns, and balls as distinguishable for calculating the number of possible arrangements, but calculating the 'successful' cases as if the urns were indistinguishable. [/ QUOTE ] I'm treating both the balls and the urns as distinguishable for all purposes. I'm counting the ways that each distinguishable ball can select a distinguishable urn. There is no problem here. |
#10
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Re: question for MIT probability class
So I was a bit bored and decided to solve this problem by hand, but I arrived at a different answer than the above posters. I would appreciate if someone told me where I went awry.
First, consider the possible arrangements of four green balls in four urns. There are four different overarching categories: 3 empty urns, 2 empty urns, 1 empty urn, and 0 empty urns. If there are 3 empty urns, there are 4 possible configurations: 4000 0400 0040 0004 If there are two open urns, there are 18 possible configurations: 3100 3010 3001 1300 0310 0301 0031 1030 0130 1003 0103 0013 2020 2200 2002 0220 0202 0022 There are 12 possible configurations with 1 open urn: 2110 2101 2011 1201 1210 0211 1120 1021 0121 0112 1012 1102 Finally, there is one configuration with 0 open urns: 1111 This gives us 35 different configurations of green balls among the 4 urns, with 4/35ths leaving 3 open, 18/35ths leaving 2 open, 12/35ths leaving 1 open and 1/35 leaving 0 open urns. Now, consider the configurations of the 6 black balls among the 4 urns: Again, we have 4 possible cases, leaving 3, 2, 1 or 0 urns open. There are 4 configurations leaving 3 open urns: 6000 0600 0060 0006 There are 30 configuations leaving 2 open urns: 5100 5010 5001 0501 0510 1500 1050 0150 0051 0105 1005 0015 4200 4020 4002 2400 0420 0402 2040 0240 0042 2004 0204 0024 3300 3030 3003 0330 0303 0033 There are 40 combinations leaving 1 open urn: 4110 4101 4011 1401 1410 0411 1041 1140 0141 1104 1014 0114 3210 3201 3102 3120 3021 3012 0321 0312 1320 1302 2310 2301 0132 0231 1230 1032 2031 2130 0123 0213 1023 1203 2103 2013 2220 2202 2022 0222 Finally, there are 10 configurations leaving 0 open urns: 3111 1311 1131 1113 2211 2121 2112 1221 1212 1122 This gives us 84 possible configurations of 6 black balls among 4 urns, with the following distribution: 4/84 leave 3 open urns. 30/84 leave 2 open urns. 40/84 leave 1 open urn. 10/84 leave 0 open urns. Now it is not too difficult to figure out how many configurations have no green and black balls in the same urn. First, if all the green balls are in one urn (p = 4/35): 4/84 times all the black balls are also in one urn, and 3/4 of the time they will not overlap. So, 4/35 * 4/84 * 3/4 = 12/2940. 30/84 times the black balls will be in 2 urns, leaving two open. 14 out of these 30 configurations will not overlap with any given placement of the green balls. (e.g., if there are four green balls in the first urn, and the black balls are distributed among 2 urns, there is a 14/30 chance that there are no black and green balls in the same urn.) Therefore: 4/35*30/84*14/30 = 56/2940. Last, when the green balls are in a single urn, 40/84 times the black balls will be distributed among 3 urns, leaving 1 open. 1/4 of those times, the open urn will be the urn in which the green balls are placed. Therefore: 4/35 * 40/84 * 1/4 = 40/2940. So, P(no overlap|all green balls in a single urn)=P(no overlap|all green balls in a single urn and all black balls in a single urn) + P(no overlap|all green balls in a single urn and all black balls in two urns) + P(no overlap|all green balls in a single urn and all black balls in three urns) Or: P(no overlap|all green in a single urn) = 12/2940 + 56/2940 + 40/2940 = 108/2940 Next, we consider the cases when the green balls are distributed among 2 of the four urns. There will be only two configurations of black balls that could avoid overlap given 2 urns without green balls, those in which the black balls were distributed among 2 or 1 urns. If the green balls are distributed in two urns, there are 6 different general configurations possible: 00XX, 0X0X, 0XX0, X00X, X0X0, XX00. If the general configuration of green balls does not overlap with the black balls, the black balls must be arranged in the inverse configuration (e.g., if green are in the 3rd and 4th, 00XX, black must be in the first and second XX00.) So, looking at the 30 configurations of black balls which leave 2 open urns, we see that, for any generic configuration of green balls, there will be 5 of the 30 non-overlapping configurations of black balls. So: P(no overlap|green balls in 2 urns and black balls in two urns) = P(green balls in two urns) * P(black balls in two urns) * P(they don't overlap)= 18/35 * 30/84 * 1/6 = 90/2940 Next, consider the possibility that the green balls are distributed among 2 urns, and the black balls are in only 1 urn. In this case, 2/4 configurations of black balls will be non-overlaping, so: P(no overlap|green balls in two urns and black balls in one) = P(green in two urns) * P(black in one urn) * 1/2 = 18/35 * 4/84 * 1/2 = 36/ 2940 The total conditional probability P(no overlap|green balls in two urns) = 90/2940 + 36/2940 = 126/2940 Last, consider the case where the green balls are distributed in 3 urns, leaving one open urn. In this case, the black balls must all be in the open urn, which is only one possible configuration. Therefore: P(no overlap|green balls in 3 urns) = P(green in 3)* P(black in 1) * 1/4= 12/35 * 4/84 * 1/4 = 12/2940. So, the total probability of configurations with no black and green balls in the same urn = P(no overlap|green balls in one urn) + P(no overlap| green balls in two urns) + P(no overlap|green balls in three urns)= 108/2940 + 126/2940 + 12/2940 = 246/2940 = .08367 or around 8.4% of all configurations have no overlap between the green and black balls. |
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