We lately discussed a simple looking question, which seems to be more difficult that expected.
You have coins numbered through on one side and with a on the other side. You toss all coins and sum up the values that face up. What is the probability that the sum is greater than or equal to ?
We found two ways to answer the question. But we are not satisfied with our solutions because you cannot(?) use them for a more general version of the problem. Maybe you have better solutions?
1. solution:
Because there are 10 (perfect, not biased) coins, there are possible outcomes. In order to get the probability, we need to know for how many outcomes the sum is greater than or equal to . If the sum of the sides facing up is greater than or equal to then the sum of the sides facing down is less than or equal to . Therefore we just need to know for how many outcomes the sum of the sides facing down is less than or equal to . Or in other words: How many ways are there to write a natural number less than as the sum of distinct natural numbers.
You can find all possibilitys manually or just ask OEIS: There are ways to write a number less than as sum of distinct natural numbers. (There is way for , when all zeros facing down; there is way to write as sum of distinct natural numbers; way for ; etc.)
Hence the probability is
2. solution:
We made a few python simulations and figured out that it is a normal distribution with and . By taking the area under the curve from to with the given mean and standard deviation we got a probability of .
But none of these two methods work for a more general question:
You have coins numbered through on one side and with a on the other side. You toss all coins and sum up the values that face up. What is the probability that the sum is greater than or equal to ?
How would you solve this general version of the question?
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