and 1, with 1 having a probability of ?. The outcome can be thought of as determined by the toss of a biased coin, with the probability of heads (1) being ? and the probability of tails (0) being 1 - ''?''.

Let X be a Bernoulli trial of one sample from the distribution. The Fisher information contained in X may be calculated to be:
:

Because Fisher information is additive, the Fisher information contained in n independent Bernoulli trials is therefore
:

If is one of the

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