class MyTestCase(unittest.TestCase):
def setUp(self) -> None:
self.testData = random_code()
self.testData2 = random_code2()
self.statistics = Statistics()
# self.testData1 = random_code_withoutSeed()
self.testZ = z_values(self.testData)
self.testSystematic = Systematic(self.testData)
self.testZscore = z_values(self.testData)
def test_instantiate_calculator(self):
self.assertIsInstance(self.statistics, Statistics)
def test_mean_calculator(self):
mean = self.statistics.mean(self.testData)
self.assertEqual(mean, 61.7688)
def test_median_calculator(self):
median = self.statistics.median(self.testData)
self.assertEqual(median, 43.6865)
def test_mode_calculator(self):
mode = self.statistics.mode(self.testData)
self.assertEqual(mode, 1.045)
def test_standDevPop_calculator(self):
standDev = self.statistics.standardDeviationPopulation(self.testData)
self.assertEqual(standDev, 9.851279178665072)
def test_standDevSam_calculator(self):
standDevSam = self.statistics.standardDeviationSample(self.testData)
self.assertEqual(standDevSam, 32.83759726221691)
def test_VarianceSample_calculator(self):
VarianceSam = self.statistics.VarianceSample(self.testData)
self.assertEqual(VarianceSam, 5.730409868605989)
def test_VariancePop_calculator(self):
VariancePop = self.statistics.VariancePop(self.testData)
self.assertEqual(VariancePop, 3.138674748785715)
def test_Quartile1_calculator(self):
q1 = self.statistics.Quartile1(self.testData)
self.assertEqual(q1, 60.046499999999995)
def test_Quartile2_calculator(self):
q2 = self.statistics.Quartile2(self.testData)
self.assertEqual(q2, 73.8745)
def test_Quartile3_calculator(self):
q3 = self.statistics.Quartile3(self.testData)
self.assertEqual(q3, 80.89450000000001)
def test_z_Values(self, masterResult=None):
masterResults = []
result = self.statistics.Z_values(self.testZ)
for i in result:
masterResults.append(i)
if masterResult == result:
self.assertTrue(True)
def test_systematic_calc(self):
Result = []
result = self.statistics.Systematic(self.testSystematic)
for i in result:
Result.append(i)
if Result == result:
self.assertTrue(True)
def test_Z_scores(self):
Result = []
result = self.statistics.Z_scores(self.testZscore)
for i in result:
Result.append(i)
if Result == result:
self.assertTrue(True)
def test_confidence_interval(self):
Result = []
result = self.statistics.Confidence_interval(self.testData)
for i in result:
Result.append(i)
if Result == result:
self.assertTrue(True)
def test_skewness(self):
skew = self.statistics.Skewness(self.testData)
self.assertEqual(skew, -1.0958752107177778)
def test_margin_Error(self):
Result = []
result = self.statistics.MarginError(self.testData)
for i in result:
Result.append(i)
if Result == result:
self.assertTrue(True)
def test_SampleSize_without_std(self):
Result = []
result = self.statistics.SampleSizeWithoutStd(self.testData)
for i in result:
Result.append(i)
if Result == result:
self.assertTrue(True)
def test_SampleSize_with_std(self):
Result = []
result = self.statistics.SampleSizeWithStd(self.testData)
for i in result:
Result.append(i)
if Result == result:
self.assertTrue(True)
def test_SampleSize_Cochran(self):
Result = []
result = self.statistics.SampleSizeCochran(self.testData)
for i in result:
Result.append(i)
if Result == result:
self.assertTrue(True)
def test_Abs_mean_Dev(self):
meanADev = self.statistics.MeanAbsStd(self.testData)
self.assertEqual(meanADev, 24.03988)
def test_mean_Dev(self):
meanDev = self.statistics.MeanStd(self.testData)
self.assertEqual(meanDev, 1.4210854715202005e-15)
def test_Population_Correlation(self):
PopCorre = self.statistics.Population_Correlation(
self.testData, self.testData2)
self.assertEqual(PopCorre, 0.8337248694096866)
def test_Sample_Correlation(self):
SamCorre = self.statistics.Sample_Correlation(self.testData,
self.testData2)
self.assertEqual(SamCorre, 0.8337248694096866)
class MyTestCase(unittest.TestCase):
def setUp(self) -> None:
self.testData = random_code()
self.testData2 = random_code2()
self.statistics = Statistics()
# self.testData1 = random_code_withoutSeed()
self.testZ = z_values(self.testData)
self.testSystematic = Systematic(self.testData)
self.testZscore = z_values(self.testData)
def test_instantiate_calculator(self):
self.assertIsInstance(self.statistics, Statistics)
def test_mean_calculator(self):
mean = self.statistics.mean(self.testData)
self.assertEqual(mean, 37.41)
def test_median_calculator(self):
median = self.statistics.median(self.testData)
self.assertEqual(median, 37.41)
def test_mode_calculator(self):
mode = self.statistics.mode(self.testData)
self.assertEqual(mode, 0.82)
def test_standDevPop_calculator(self):
standDev = self.statistics.standardDeviationPopulation(self.testData)
self.assertEqual(standDev, 36.988761229167785)
def test_standDevSam_calculator(self):
standDevSam = self.statistics.standardDeviationSample(self.testData)
self.assertEqual(standDevSam, 73.97752245833557)
def test_VarianceSample_calculator(self):
VarianceSam = self.statistics.VarianceSample(self.testData)
self.assertEqual(VarianceSam, 8.601018687244876)
def test_VariancePop_calculator(self):
VariancePop = self.statistics.VariancePop(self.testData)
self.assertEqual(VariancePop, 6.0818386388630685)
def test_Quartile1_calculator(self):
q1 = self.statistics.Quartile1(self.testData)
self.assertEqual(q1, 19.115)
def test_Quartile2_calculator(self):
q2 = self.statistics.Quartile2(self.testData)
self.assertEqual(q2, 37.41)
def test_Quartile3_calculator(self):
q3 = self.statistics.Quartile3(self.testData)
self.assertEqual(q3, 55.705)
def test_z_Values(self, masterResult=None):
masterResults = []
result = self.statistics.Z_values(self.testZ)
for i in result:
masterResults.append(i)
if masterResult == result:
self.assertTrue(True)
def test_systematic_calc(self):
Result = []
result = self.statistics.Systematic(self.testSystematic)
for i in result:
Result.append(i)
if Result == result:
self.assertTrue(True)
def test_Z_scores(self):
Result = []
result = self.statistics.Z_scores(self.testZscore)
for i in result:
Result.append(i)
if Result == result:
self.assertTrue(True)
def test_confidence_interval(self):
Result = []
result = self.statistics.Confidence_interval(self.testData)
for i in result:
Result.append(i)
if Result == result:
self.assertTrue(True)
def test_skewness(self):
skew = self.statistics.Skewness(self.testData)
self.assertEqual(skew, 2.9705230566342935e-16)
def test_margin_Error(self):
Result = []
result = self.statistics.MarginError(self.testData)
for i in result:
Result.append(i)
if Result == result:
self.assertTrue(True)
def test_SampleSize_without_std(self):
Result = []
result = self.statistics.SampleSizeWithoutStd(self.testData)
for i in result:
Result.append(i)
if Result == result:
self.assertTrue(True)
def test_SampleSize_with_std(self):
Result = []
result = self.statistics.SampleSizeWithStd(self.testData)
for i in result:
Result.append(i)
if Result == result:
self.assertTrue(True)
def test_SampleSize_Cochran(self):
Result = []
result = self.statistics.SampleSizeCochran(self.testData)
for i in result:
Result.append(i)
if Result == result:
self.assertTrue(True)
def test_Abs_mean_Dev(self):
meanADev = self.statistics.MeanAbsStd(self.testData)
self.assertEqual(meanADev, 36.59)
def test_mean_Dev(self):
meanDev = self.statistics.MeanStd(self.testData)
self.assertEqual(meanDev, 3.552713678800501e-15)
def test_Population_Correlation(self):
PopCorre = self.statistics.Population_Correlation(
self.testData, self.testData2)
self.assertEqual(PopCorre, 0.5631564940516495)
def test_Sample_Correlation(self):
SamCorre = self.statistics.Sample_Correlation(self.testData,
self.testData2)
self.assertEqual(SamCorre, 0.5631564940516495)
