pygsti.tools.chi2fn¶
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pygsti.tools.
chi2fn
(N, p, f, minProbClipForWeighting=0.0001)¶ Computes the chi^2 term corresponding to a single outcome.
The chi-squared term for a single outcome of a multi-outcome measurement using a clipped probability for the statistical weighting.
Parameters: - N (float or numpy array) – Number of samples.
- p (float or numpy array) – Probability of 1st outcome (typically computed).
- f (float or numpy array) – Frequency of 1st outcome (typically observed).
- minProbClipForWeighting (float, optional) – Defines clipping interval (see return value).
Returns: N(p-f)^2 / cp , where cp is the value of p clipped to the interval (minProbClipForWeighting, 1-minProbClipForWeighting)
Return type: float or numpy array