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I was browsing Etsy today and came across this.

What tests are there to see if the dice are usable, ie, if one side isn't favored over another, and if all sides are balanced?

Would this just be to roll the dice a large nubmer of times and collect the data? Or are there other tests that could be done without doing that?

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A statistical test would require a large number of rolls of the dice. For a simpler statistical example, to test whether a coin is fair by tossing a coin $N$ times would result in approximately $\frac{N}{2}$ heads but the standard deviation of that count would be about $sqrt(N)$ so to get to a level of significance where the standard deviation is only 0.01 on the 0.50 value that you are trying to measure would require $N = (0.01)^{-2} = 10000$ tosses of a coin.

Another test you could try would be to try to accurately measure where the center of mass of the die is. You could do this by seeing if the die can approximately balanced on a knife edge which is bisecting one of the die's faces. Do this for 3 of the orthogonal faces of the die and if they all are balanced, then the center of mass is in the geometric center of the die. However, I don't know how to determine what error in this measurement would be achievable and how much an off-center center of mass would affect the fairness of the die.

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The stats part of this is wrong. There are deterministic ways that you can tell if you are dealing with weighted dice/coins, and using a far fewer number of trials that what you posit. I would think that an easy way to tell whether the dice was weighted is to suspend it in some medium where it floats, and then set it spinning. If it is weighted, there will be a skew in which side faces upward. –  Jen Nov 5 '11 at 1:18
    
I like the idea of floating the die. What is wrong with the stats? The flips of a coin are like a random walk in 1 dimension and the standard deviation of your distance from 0 grows like $sqrt(N)$ AFAIK. - just looked it up, the distance is $sqrt(\frac{2 N}{\pi})$ –  FrankH Nov 5 '11 at 7:50
    
My internet connection keeps cutting out so I can't post a proper response, but look up the chi-square test. You can determine with reasonable accuracy pretty quickly if a dice (or coin) is weighted based on the disparity between the expected and observed concurrences. –  Jen Nov 5 '11 at 10:41
    
Good dice has some imbalance, because the dots are carved, and six pits make that side lighter than the on pit on the opposite side, etc. –  Georg Nov 5 '11 at 10:48

There is a statistical test for exactly this kind of problem--it is called Pearson's Chi-Squared test. It is able to determine if an observed distribution of results, such as the results of rolling a die, matches a theoretical distribution, such as one where every number occurs equally as often.

The test requires at least 5 expected occurrences for each event (each number, in our die case). This means you would need at least 6*5=30 rolls of the die.

You can conduct the tests in excel, as it conveniently has chi squared test formula you can use. You just plug in your observed frequencies and your theoretical frequencies, and it tells you how often a fair die rolls as "bad" as what you rolled. If a fair die would roll that bad less than 5% of the time, you probably should be suspicious about your die.

Remember that these statistical test are not perfect. A fair die can still roll poorly, or a weighted die can roll like a fair one, purely by random chance. No test can protect against these random occurrences. You also have to adjust your cutoff value when testing multiple dice. Just imagine that if you tested 100 fair dice, some are likely to roll very poorly. You would easily expect to see results that a fair die would produce only 1% of the time. A good rule of thumb for adjusting your cut-off is to divide 5% by the number of dice you are testing.

I created a spreadsheet you can view online to test your own dice. You just roll your dice and record your results, and your spreadsheet tells you the odds that a fair dice would roll worse than you just did. It also tells you a cut-off value to use to determine if your dice are fair. Check it out at http://1drv.ms/1pLgjzO

You can see more about the statistical test on Wikipedia at http://en.wikipedia.org/wiki/Pearson%27s_chi-squared_test

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