def test__pooled_std__variances_differ_too_much_error(self):
""" Warning raised when variances differ too much. """
with warnings.catch_warnings(record=True) as w:
statx.pooled_std(0.25, 4, 0.5, 4)
self.assertEqual(len(w), 1)
self.assertTrue(issubclass(w[-1].category, UserWarning))
self.assertTrue('variances differ' in str(w[-1].message))
def test__pooled_std__variances_differ_too_much_error(self):
""" Warning raised when variances differ too much. """
with warnings.catch_warnings(record=True) as w:
statx.pooled_std(0.25, 4, 0.5, 4)
self.assertEqual(len(w), 1)
self.assertTrue(issubclass(w[-1].category, UserWarning))
self.assertTrue('variances differ' in str(w[-1].message))
def test__pooled_std__computation(self):
""" Result of pooled_std() equals expected result. """
# Define subset of data for test
sbp = self.metrics.loc['systolic_bp', :]
# Computation of pooled standard deviation
result1 = statx.pooled_std(sbp.men.s, sbp.men.n, sbp.women.s, sbp.women.n)
# Checking if result1 is correct
self.assertAlmostEqual(result1, 19, 1)
# Computation of pooled standard deviation
result2 = statx.pooled_std(9.7, 6, 12.0, 4)
# Checking pooled_std() on small sample subset
self.assertAlmostEqual(result2, 10.6, 1)
def test__pooled_std__computation(self):
""" Result of pooled_std() equals expected result. """
# Define subset of data for test
sbp = self.metrics.loc['systolic_bp', :]
# Computation of pooled standard deviation
result1 = statx.pooled_std(sbp.men.s, sbp.men.n, sbp.women.s, sbp.women.n)
# Checking if result1 is correct
self.assertAlmostEqual(result1, 19, 1)
# Computation of pooled standard deviation
result2 = statx.pooled_std(9.7, 6, 12.0, 4)
# Checking pooled_std() on small sample subset
self.assertAlmostEqual(result2, 10.6, 1)