def test_proportion(self):
test_data = CsvReader("/Tests/Data/randomdata.csv")
answers = CsvReader("Tests/Data/answers.csv").data
values = Data(test_data, 'value')
for column in answers:
self.assertEqual(self.statistics.proportion(values),
float((column['proportion'])))
def test_confidence_interval_calculator(self):
test_data = CsvReader("/Tests/Data/randomdata.csv")
answers = CsvReader('Tests/Data/answers.csv').data
values = Data(test_data, 'value')
for column in answers:
self.assertEqual(self.statistics.conf_interval(values), (float(
column['conf_int_high']), float(column['conf_int_low'])))
def test_z_score(self):
test_data = CsvReader("/Tests/Data/randomdata.csv")
answers = CsvReader("Tests/Data/answers.csv").data
values = Data(test_data, "value")
for column in answers:
self.assertEqual(self.statistics.z_score(values),
float((column['zscore'])))
def test_pop_std_dev(self):
test_data = CsvReader("/Tests/Data/randomdata.csv")
answers = CsvReader("Tests/Data/answers.csv").data
values = Data(test_data, 'value')
for column in answers:
self.assertEqual(
round(self.statistics.pop_standard_dev(values), 4),
float((column['PSD'])))
def test_sample_variance(self):
test_data = CsvReader("/Tests/Data/randomdata.csv")
answers = CsvReader("Tests/Data/answers.csv").data
values = Data(test_data, 'value')
x = self.statistics.sample_variance(values)
self.assertEqual(x, x)