Writing for the probability of face , the hypotheses are
against
For observed counts and null expected counts , the Pearson chi-squared goodness-of-fit test uses
When the null cell probabilities are specified and the expected counts grow, its limiting null distribution is
Here , so the limit is .
Under fairness every expected count is . Therefore
The asymptotic p-value is the upper-tail probability
Numerically this is approximately , so the data provide little evidence against fairness.

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