You are not logged in.
then he would have said 2,2 because both numbers (9,10) are in both subsets.
What happens if Alexander says (1,1) when he has picked 9,10?
OK, so:
Let's name the coins 1 to 10. We have 9 possible coin sets to guess: 1-2, 2-3, 3-4, 4-5, 5-6, 6-7, 7-8, 8-9 and 9-10.
All possible answers that Alexander can give are 0, 1 and 2 (coins) for each subset, thus 9 possible combinations.
Let's take these two subsets for example: A: {3,4,5,9,10} and B: {5,7,8,9,10}.
Below we list Alexander's replies for each subset A - B and the set of numbers that Byron guesses:
A B
0 0 ----->1,2
0 1 ----->6,7
0 2 ----->7,8
1 0 ----->2,3
1 1 ----->5,6
1 2 ----->8,9
2 0 ----->3,4
2 1 ----->4,5
2 2 ----->9,10
So this way Byron can always win, no matter which pair of number Alexander has put in mind.
This is just my guess, maybe we must wait for Salem to confirm But it doesn't say "two different subsets"!
That changes things a lot.
I mean that the two subsets may also have some common numbers.
Overlapping? I do not understand.
Number of combinations with 3 adjacent males to 15 seats: 1586131 (pattern is 3^13 - 2^13)
Number of combinations with 2 adjacent females to 15 seats: 1586131 (pattern is 3^13 - 2^13)
Number of combinations with both 3 adjacent males and 2 adjacent females to 15 seats: 523250 (pattern is 3^(13-1) - 2*2^(13-1) + 1)
Now what?
Bobby, now that I think of it, the subsets can also be overlapping. I think that I am close to something...
If I understand correctly choosing two subsets will split the 10 numbers into 3 pieces. Is that correct?
I think it must be something related to some unique property - maybe related to the number of employees (20). Otherwise the number is not used!
So we can have 10 men at maximum and 8 women at maximum, if this is of any help
Very intriguing puzzle though!
The two subsets plus the ones not belonging to any of the two subsets. Right.
Cannot even imagine any solution!
Wow! Nehushtan, I like your solution!!
Nice observation, but how would he determine the "first"? For example, what if 5 students didn't show up at school on the next day? Who would be the first?
Hi, I guess he said in his announcement that "the first employee who accept his advice will be charged with the day off" so since no one of them would like to be charged with the leave day, no one will accept the advice first and all of them will come to work the next day hence the manager achieves his objective. (This is a kind of "foxy" advice)...
Hi Samuel,
So I guess it would not be a specific employee, but someone who would meet some condition, right?
Wow!! Heap sort!
Bobby, sorry to sound a bit stupid; what is "simulation"?
Just did a rough simulation. I think the exact answer is 301 / 625
but "in mathematics you don't understand things..." - right?
I think I understand now.
My understanding is that we have at maximum one train per minute: Since the probability for the train to come is 70% within each minute, this means it may come but there is also a chance it may not come (with 30% probability) within the first minute. Same for the second minute: again the probability for the train to come is 70% and so on.
Yes, but with probability 70% in each minute. I am not sure what exactly this means. If, for example, the first train comes exactly at 8:01, and they miss it, then within the second minute, a second train may come, but with probability 70% (and they may also miss it).
For the first minute, the overall probability is 0.7 x 0.4, but how about in the 5 minutes?
That seems to mean there are 5 trains coming, one for each minute.
I don't think it is like this. It says that every minute there is 70% probability that the train comes (within this minute). Right?
That sort of assumes that the trains come exactly every minute?
So, would it be [(7/10)x(4/10)]^5?
Hi;
I would think so but the problem is unclear to me.
@bobbym: is it correct to assume that the probability (for the two guys to catch the train) within EVERY minute from 8:00 to 8:05 is independent, since it is uniformly distributed in the course of each minute?
So now you can focus on my rotten apples
Absorbing Markov Chains are a good way to describe random walks like this. They only look tough and they are a breeze to compute.
That's very hard for me to understand, but the result is the same as the one I got with my simplistic approach
Many thanks!!
Hi;
The Markov Chain of this process is,
We can use an initial state vector of
orto compute the chance that the team starts at home versus on the road. Getting the mean of the first passage time to the appropriate absorbing state (one of the last 4 rows) we get a expected number of games of 16 / 3
Good morning to all of you
I believe the answer is 5,3333 and I think that Nehushtan's post #3 is very close to the solution. Indeed we have an even number of games, and we can examine two different cases, one is WW (2 wins, or LL, symmetrically) and all others that start with an even number of games where nobody wins and then we have a winning streak of 2 more games (for example, WHWHWH plus HH at the end). The first case is with probability 2 . 3/4 . 1/4 = 3/8. Thus the other cases (those with more than 2 games in total) occur with probability 5/8. But then what?
If I am to put this into a Markov chain then I must assign probabilities to who goes first. I can assign .5 to each one. Before I start, do you have the answer to this problem so we can tell if I get there?