pygsti.chi2fn_2outcome¶
-
pygsti.
chi2fn_2outcome
(N, p, f, minProbClipForWeighting=0.0001)¶ Computes chi^2 for a 2-outcome measurement.
The chi-squared function for a 2-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(1-cp)), where cp is the value of p clipped to the interval (minProbClipForWeighting, 1-minProbClipForWeighting)
Return type: float or numpy array