pygsti.chi2fn_2outcome_wfreqs¶
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pygsti.
chi2fn_2outcome_wfreqs
(N, p, f, minProbClipForWeighting=0.0001)¶ Computes chi^2 for a 2-outcome measurement using frequency-weighting.
The chi-squared function for a 2-outcome measurement using the observed frequency in the statistical weight.
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) – unused but present to keep the same function signature as chi2fn_2outcome.
Returns: N(p-f)^2 / (f*(1-f*)), where f* = (f*N+1)/N+2 is the frequency value used in the statistical weighting (prevents divide by zero errors)
Return type: float or numpy array