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@@ 43-55 (lines=13) @@
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| 40 |
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sample_size = 29 |
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sampling_distribution = MeanSamplingDistribution(sample_mean=sample_mean, sample_sd=sample_sd, |
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sample_size=sample_size) |
| 43 |
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self.assertEqual(sampling_distribution.distribution_family, DistributionFamily.student_t) |
| 44 |
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print('sampling distribution: (point_estimate = ' + str(sampling_distribution.point_estimate) |
| 45 |
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+ ', standard_error = ' + str(sampling_distribution.standard_error) + ')') |
| 46 |
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print('confidence interval for 95% confidence level: ' + str(sampling_distribution.confidence_interval(0.95))) |
| 47 |
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| 48 |
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def test_confidence_interval_with_sample_student(self): |
| 49 |
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mu = 0.0 |
| 50 |
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sigma = 1.0 |
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sample_size = 29 |
| 52 |
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sample = Sample() |
| 53 |
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| 54 |
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for i in range(sample_size): |
| 55 |
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sample.add_numeric(normal(mu, sigma)) |
| 56 |
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| 57 |
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sampling_distribution = MeanSamplingDistribution(sample_distribution=SampleDistribution(sample)) |
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self.assertEqual(sampling_distribution.distribution_family, DistributionFamily.student_t) |
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@@ 20-32 (lines=13) @@
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| 17 |
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self.assertEqual(sampling_distribution.distribution_family, DistributionFamily.normal) |
| 18 |
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print('sampling distribution: (point_estimate = ' + str(sampling_distribution.point_estimate) |
| 19 |
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+ ', standard_error=' + str(sampling_distribution.standard_error) + ')') |
| 20 |
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print('confidence interval for 95% confidence level: ' + str(sampling_distribution.confidence_interval(0.95))) |
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| 22 |
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def test_confidence_interval_with_sample_normal(self): |
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mu = 0.0 |
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sigma = 1.0 |
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sample_size = 31 |
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sample = Sample() |
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| 28 |
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for i in range(sample_size): |
| 29 |
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sample.add_numeric(normal(mu, sigma)) |
| 30 |
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| 31 |
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sampling_distribution = MeanSamplingDistribution(sample_distribution=SampleDistribution(sample)) |
| 32 |
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self.assertEqual(sampling_distribution.distribution_family, DistributionFamily.normal) |
| 33 |
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print('sampling distribution: (point_estimate = ' + str(sampling_distribution.point_estimate) |
| 34 |
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+ ', standard_error = ' + str(sampling_distribution.standard_error) + ')') |
| 35 |
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print('confidence interval for 95% confidence level: ' + str(sampling_distribution.confidence_interval(0.95))) |
chen0040 /
pysie
