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pygsti.tools.chi2fn_wfreqs.html
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<h1>pygsti.tools.chi2fn_wfreqs<a class="headerlink" href="#pygsti-tools-chi2fn-wfreqs" title="Permalink to this headline">¶</a></h1>
<dl class="function">
<dt id="pygsti.tools.chi2fn_wfreqs">
<code class="descclassname">pygsti.tools.</code><code class="descname">chi2fn_wfreqs</code><span class="sig-paren">(</span><em>N</em>, <em>p</em>, <em>f</em>, <em>minProbClipForWeighting=0.0001</em><span class="sig-paren">)</span><a class="headerlink" href="#pygsti.tools.chi2fn_wfreqs" title="Permalink to this definition">¶</a></dt>
<dd><p>Computes the frequency-weighed chi^2 term corresponding to a single outcome.</p>
<p>The chi-squared term for a single outcome of a multi-outcome
measurement using the observed frequency in the statistical weight.</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><ul class="first simple">
<li><strong>N</strong> (<em>float or numpy array</em>) – Number of samples.</li>
<li><strong>p</strong> (<em>float or numpy array</em>) – Probability of 1st outcome (typically computed).</li>
<li><strong>f</strong> (<em>float or numpy array</em>) – Frequency of 1st outcome (typically observed).</li>
<li><strong>minProbClipForWeighting</strong> (<em>float, optional</em>) – unused but present to keep the same function
signature as chi2fn.</li>
</ul>
</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first">N(p-f)^2 / f*,
where f* = (f*N+1)/N+2 is the frequency value used in the
statistical weighting (prevents divide by zero errors)</p>
</td>
</tr>
<tr class="field-odd field"><th class="field-name">Return type:</th><td class="field-body"><p class="first last">float or numpy array</p>
</td>
</tr>
</tbody>
</table>
</dd></dl>
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