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@@ 295-304 (lines=10) @@
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return sorted(simulated_proportions) |
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def confidence_interval(self, confidence_level): |
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q = 1 - (1 - confidence_level) / 2 |
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if self.distribution_family == DistributionFamily.normal: |
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z = norm.ppf(q) |
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pf = z * self.standard_error |
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return self.point_estimate - pf, self.point_estimate + pf |
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else: |
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threshold1 = int(1000 * (1 - confidence_level) / 2) |
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threshold2 = int(1000 * q) |
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return self.diff_simulated_proportions[threshold1], self.diff_simulated_proportions[threshold2] |
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@@ 187-196 (lines=10) @@
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self.simulated_proportions[i] = float(count) / self.sample_size |
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self.simulated_proportions = sorted(self.simulated_proportions) |
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def confidence_interval(self, confidence_level): |
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q = 1 - (1 - confidence_level) / 2 |
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if self.distribution_family == DistributionFamily.normal: |
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z = norm.ppf(q) |
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pf = z * self.standard_error |
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return self.point_estimate - pf, self.point_estimate + pf |
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else: |
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threshold1 = int(1000 * (1 - confidence_level) / 2) |
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threshold2 = int(1000 * q) |
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return self.simulated_proportions[threshold1], self.simulated_proportions[threshold2] |
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class ProportionDiffSamplingDistribution(object): |
chen0040 /
pysie
