What Is the Upper Bound on White Balls with Given Certainty?

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The discussion focuses on determining the upper bound on the number of white balls in a container, given a sample of balls drawn and the percentage of black balls observed. Specifically, the user presents a scenario with 1000 balls, where 10 drawn balls are all black, and seeks to establish an upper limit on white balls with 98% certainty. The user proposes using the binomial probability formula to calculate the likelihood of drawing black balls based on varying numbers of white balls, referencing the Wikipedia page on binomial proportion confidence intervals for further guidance.

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Say I have a container with room for B balls. I know that there are black and white balls but I don't know the ratio between them.

Say I pick P balls, and R% are black. How can I use this information to establish an upper bound on the number of white balls, with C% certainty?

To give a specific example:

I have 1000 Balls, I pick 10 and they are all black. If I want to be 98% certain, what is the upper bound on the number of white balls?

I don't know any statistics beyond simple elementary probabilities, so I have no idea how to approach this. Some help with setting up an equation that I can use to solve these kinds of problems would be much appreciated.

Edit:

I've been thinking about it and I believe I can get some of the way towards an answer. For any given number of white balls, I can get the probability for that particular setup. Let's say that there was 100 white balls; the probability of me getting 10 black would then be

\frac{\binom{900}{10} \binom{100}{0}}{\binom{1000}{10}}

I guess I could start at the probability of 990 white balls, add that together with the probability of 989 white balls, and keep going until I get to 98%, but there must be a better solution? This summation solution works for this example, but it gets pretty unfeasible if I have something like 10^31 balls.

k
 
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