def test_method_zscore(self):
mean = self.row_data.columns['mean'][0]
sd = self.row_data.columns['sd'][0]
zscore = roundOff(self.row_data.columns['zscore'][0])
# zscore = roundOff(float(row['zscore']))
self.assertEqual(self.stats.zscore(self.stats_row[0], mean, sd), zscore)
self.assertEqual(self.stats.result, zscore)
self.assertNotEqual(self.stats.result, square(zscore))
def varpp(a):
val = stddev(a)
result = square(val)
return roundOff(result)
def test_method_variance_pop_prop(self):
corr = 10
result = roundOff(0.1)
self.assertEqual(self.stats.varProp(self.stats_row, corr), result)
self.assertNotEqual(self.stats.result, square(result))
def test_method_sample_variance(self):
expected = self.stats.vpp(self.sampleData)
self.assertEqual(self.stats.vpp(self.sampleData), expected)
self.assertNotEqual(self.stats.vpp(self.sampleData), square(expected))
def test_method_vpp(self):
vpp = roundOff(float(self.row_data.columns['vpp'][0]))
self.assertEqual(self.stats.vpp(self.stats_row), vpp)
self.assertEqual(self.stats.result, vpp)
self.assertNotEqual(self.stats.result, square(vpp))
def test_method_sample_sd(self):
expected = self.stats.sd(self.sampleData)
self.assertEqual(self.stats.sd(self.sampleData), expected)
self.assertNotEqual(self.stats.sd(self.sampleData), square(expected))
def test_method_mode(self):
mode = roundOff(float(self.row_data.columns['mode'][0]))
self.assertEqual(self.stats.mode(self.stats_row), mode)
self.assertEqual(self.stats.result, mode)
self.assertNotEqual(self.stats.result, square(mode))
def test_method_median(self):
median = roundOff(float(self.row_data.columns['median'][0]))
self.assertEqual(self.stats.median(self.stats_row), median)
self.assertEqual(self.stats.result, median)
self.assertNotEqual(self.stats.result, square(median))
def square(self, a):
self.result = square(a)
return self.result