def test_confidence_interval_SUB(self):
for row in test_data_values({}):
result = test_data_results.float(row['Confidence_Interval_SUB'])
self.assertEqual(
self.statistics.confidence_interval_SUB((row['Values']),
result))
self.assertEqual(self.statistics.result, result)
def test_population_standard_deviance(self):
for row in test_data_values({}):
result = test_data_results.float(
row['Population_Standard_Deviance'])
self.assertAlmostEqual(
self.statistics.population_standard_deviance((row['Values']),
result))
self.assertAlmostEqual(self.statistics.result, result)
def test_population_correlation_coefficient(self):
for row in test_data_values({}):
result = test_data_results.float(
row['Population_Correlation_Coefficient'])
self.assertEqual(
self.statistics.population_correlation_coefficient(
(row['Values']), result))
self.assertEqual(self.statistics.result, result)
def test_variance_population_proportion(self):
for row in test_data_values({}):
result = test_data_results.float(
row['Variance_Population_Proportion'])
self.assertEqual(
self.statistics.variance_population_proportion((row['Values']),
result))
self.assertEqual(self.statistics.result, result)
def test_proportion(self):
for row in test_data_values({}):
result = test_data_results.float(row['Proportion'])
self.assertEqual(
self.statistics.proportion((row['Values']), result))
self.assertEqual(self.statistics.result, result)
def test_zscore(self):
for row in test_data_values({}):
result = test_data_results.float(row['Zscore'])
self.assertEqual(self.statistics.zscore((row['Values']), result))
self.assertEqual(self.statistics.result, result)
def test_median(self):
for row in test_data_values({}):
result = test_data_results.float(row['Median'])
self.assertEqual(self.statistics.median((row['Values']), result))
self.assertEqual(self.statistics.result, result)
def test_population_mean(self):
for row in test_data_values({}):
result = test_data_results.float(row['Population_Mean'])
self.assertEqual(
self.statistics.population_mean((row['Values']), result))
self.assertEqual(self.statistics.result, result)
def test_get_sample(self):
expected_range = range(5, 6)
for row in test_data_values({}):
result = float(row['Values']).getSample(
test_data_values, sample_size=self.sample_size)
self.assertIn(result, expected_range)
def test_num_values(self):
for row in test_data_values({}):
result = test_data_results.float(row['Num_Values'])
self.assertEqual(
self.statistics.num_values((row['Values']), result))
self.assertEqual(self.statistics.result, result)
def test_data_value(self, test_data):
self.result = test_data_values(self.test_data)
return self.result