def correlation(sd, a, b):
sampleA = SelectWithSeed.pickItem(sd, a, 10)
sampleB = SelectWithSeed.pickItem(sd, b, 10)
cov = Covariance.covariance(sampleA, sampleB)
stdDevA = StandardDeviation.standardDeviation(sampleA)
stdDevB = StandardDeviation.standardDeviation(sampleB)
return cov / (stdDevA * stdDevB)
def zscore(sd, data):
X = PickSeedList.pickSeed(sd, data)
meanData = Mean.Mean(data)
sd = StandardDeviation.standardDeviation(data)
z = Division.divide(X - meanData, sd)
return z
def stdDev(self, data):
self.result = StandardDeviation.standardDeviation(data)
return self.result
def popCor(a, b):
cov = Covariance.covariance(a, b)
stdDevA = StandardDeviation.standardDeviation(a)
stdDevB = StandardDeviation.standardDeviation(b)
return cov / (stdDevA * stdDevB)
def marginError(data, n):
zscore = zScore(data)
standardDeviation = StandardDeviation.StandardDeviation(data)
MoE = zscore * (standardDeviation / (root(n, 2)))
return MoE
def test_StatisticFunctions_StandardDeviation(self):
self.assertEqual(1.0008215555060946,
StandardDeviation.standardDeviation(self.testData))