def test_setListOfVals_return_None(self):
listOfVals = [0, 2, 4, 6, 8, 10]
newList = [1, 3, 5, 7, 9]
stats = Statistics(listOfVals)
stats.setListOfVals(newList)
actual = stats.getList()
expected = [1, 3, 5, 7, 9]
self.assertEqual(actual, expected)
def testZScorelistReturnList(self):
list = [1, 2, 3, 4, 5]
stat = Statistics(list)
actual = stat.zscore()
expected = {
1: -1.414213562373095,
2: -0.7071067811865475,
3: 0.0,
4: 0.7071067811865475,
5: 1.414213562373095
}
self.assertEqual(expected, actual)
def testnegativeCorrelationCoefficientReturnsRvalue(self):
list = [-1, -2, -3, -4, -5]
stat = Statistics(list)
expected = -0.9999999999999998
actual = stat.correlationCoefficient()
self.assertEqual(expected, actual)
def testpopulationstandarddeviation_returns_std(self):
list = [1, 2, 3, 4, 5]
stat = Statistics(list)
actual = stat.standardDeviation()
expected = 1.4142135623730951
self.assertEqual(expected, actual)
def testcorrelationCoefficientReturnsRvalue(self):
list = [1, 2, 3, 4, 5]
stat = Statistics(list)
expected = 0.9999999999999998
actual = stat.correlationCoefficient()
self.assertEqual(expected, actual)
def testChebyshevInequalityreturnNone(self):
emptyList = []
stat = Statistics(emptyList)
actual = stat.chebyshevInequality()
expected = None
self.assertEqual(expected, actual)
def test_arthmeticMean_return_3(self):
list = [1, 2, 3, 4, 5]
stat = Statistics(list)
actual = stat.arithmeticMean()
expected = 3
self.assertEqual(actual, expected)
def testLargeDataSetCorrelationCoefficientReturnsRvalue(self):
list = [1, 2, 1, 2, 5, 2, 4, 6, 7, 9, 0, 2, 3, 4, 5, 7, 6]
stat = Statistics(list)
expected = 0.4665694748158436
actual = stat.correlationCoefficient()
self.assertEqual(expected, actual)
def test_medianOddList_return_3(self):
oddList = [1, 2, 3, 4, 5]
stat = Statistics(oddList)
actual = stat.median()
expected = 3
self.assertEqual(expected, actual)
def testPlotDataMeanLargeDataSetReturnGraph(self):
list = []
for i in range(0, 99):
list.append(random.randint(0, 99))
stat = Statistics(list)
stat.plotDataMean()
def testZScoreEmptyListReturnNone(self):
emptylist = []
stat = Statistics(emptylist)
actual = stat.zscore()
expected = None
self.assertEqual(expected, actual)
def testPlotDataReturnGraph(self):
list = [1, 2, 3, 4, 5]
stat = Statistics(list)
stat.plotData()
def testPlotDataMeanEmptyDataSetReturnGraph(self):
emptylist = []
stat = Statistics(emptylist)
stat.plotDataMean()
def testPlotDataReturnEmptyGraph(self):
emptyList = []
stat = Statistics(emptyList)
stat.plotData()
def test_rangeList_return_none(self):
emptyList = []
stat = Statistics(emptyList)
actual = stat.rangeList()
expected = None
self.assertEqual(actual, expected)
def testChebyshevInequalityreturnCI(self):
list = [1, 2, 3, 4, 5]
stat = Statistics(list)
actual = stat.chebyshevInequality()
expected = 0.5000000000000001
self.assertEqual(expected, actual)
def testsameDataSetCorrelationCoefficientReturnsRvalue(self):
list = [1, 2, 1, 2, 1]
stat = Statistics(list)
expected = 0
actual = stat.correlationCoefficient()
self.assertEqual(expected, actual)
def testZScoreOneValuelistReturnList(self):
list = [1]
stat = Statistics(list)
actual = stat.zscore()
expected = {1: 0}
self.assertEqual(expected, actual)
def testoneOffCorrelationCoefficientReturnsRvalue(self):
list = [1, 2, 1, 2, 5]
stat = Statistics(list)
expected = 0.7698003589195009
actual = stat.correlationCoefficient()
self.assertEqual(expected, actual)
def test_negativeMin_rangeList_return_range(self):
listOfVal = [-1, 2, 3, 4, 5]
stat = Statistics(listOfVal)
actual = stat.rangeList()
expected = 6
self.assertEqual(actual, expected)
def test_medianEmtpyList_return_none(self):
emptyList = []
stat = Statistics(emptyList)
actual = stat.median()
expected = None
self.assertEqual(expected, actual)
def test_getListOfVals_returns_List(self):
listOfVals = [0, 2, 4, 6, 8, 10]
stats = Statistics(listOfVals)
actual = stats.getList()
expected = [0, 2, 4, 6, 8, 10]
self.assertEqual(actual, expected)
def test_medianEvenList_return_2_5(self):
evenList = [1, 2, 3, 4]
stat = Statistics(evenList)
actual = stat.median()
expected = 2.5
self.assertEqual(expected, actual)
def testsamplestandarddeviation_returns_std(self):
list = [1, 2, 3, 4, 5]
stat = Statistics(list)
actual = stat.standardDeviation(population=False)
expected = 1.5811388300841898
self.assertEqual(actual, expected)
def test_negativeMinMax_rangeList_return_range(self):
listOfVal = [-1, -2, -3, -4, -5]
stat = Statistics(listOfVal)
actual = stat.rangeList()
expected = 4
self.assertEqual(actual, expected)
def testZScoreSameValuelistReturnList(self):
list = [1, 1, 1, 1, 1]
stat = Statistics(list)
actual = stat.zscore()
expected = None
self.assertEqual(expected, actual)
def test__rangeListsameInterval_return_range(self):
listOfVal = [1, 1, 1]
stat = Statistics(listOfVal)
actual = stat.rangeList()
expected = 0
self.assertEqual(actual, expected)
def testcorrelationCoefficientReturnsNone(self):
emptyList = []
stat = Statistics(emptyList)
expected = None
actual = stat.correlationCoefficient()
self.assertEqual(expected, actual)
def test_arithmeticMean_return_1(self):
list = [1, 1, 1]
stat = Statistics(list)
actual = stat.arithmeticMean()
expected = 1
self.assertEqual(actual, expected)
def testcorrelationCoefficientReturnsZero(self):
list = [1]
stat = Statistics(list)
expected = 0
actual = stat.correlationCoefficient()
self.assertEqual(expected, actual)
