def cochran(data, seeds, nums):
ZScore = Zsc.zsc(seeds, data)
pp = PopulationProportion.populationPorportion(seeds, nums, data)
MarOfError = MarginOfError.marginOfError(seeds, data)
sub = Subtraction.difference(1, pp)
cochran = (Exponent.power(ZScore, 2) * pp * sub) / Exponent.power(
MarOfError, 2)
return cochran
def cochran(data, seeds, nums):
z_score = Z_score.z_score(seeds, data)
prop = PopProportion.popProportion(seeds, nums, data)
marginError = MarginOfError.marginOfError(seeds, data)
diff = Subtraction.difference(1, prop)
return (Exponent.power(z_score, 2) * prop * diff) / Exponent.power(
marginError, 2)
def knownSamplesize(seed, data):
z = Zsc.zsc(seed, data)
Mar = MarginOfError.marginOfError(seed, data)
StDe = Stddev.stddev(data)
value = (z * StDe) / Mar
sam = Exponent.power(value, 2)
return sam
def knownPopStdDev(seed, data):
z_score = Z_score.z_score(seed, data)
marginError = MarginOfError.marginOfError(seed, data)
stdDev = StdDeviation.stdDeviation(data)
value = (z_score * stdDev) / marginError
return Exponent.power(value, 2)
def unknownPopulationStdev(seed, data, percent):
ZScore = Zsc.zsc(seed, data)
MarOfError = MarginOfError.marginOfError(seed, data)
p = percent
q = Subtraction.difference(1, p)
pq = Division.quotient(ZScore, MarOfError)
samplePopulation = Exponent.power(pq, 2) * p * q
return samplePopulation
def unknownPopStdDev(seed, data, percent):
z_score = Z_score.z_score(seed, data)
marginError = MarginOfError.marginOfError(seed, data)
x = percent
y = Subtraction.difference(1, x)
xy = Division.quotient(z_score, marginError)
sample = Exponent.power(xy, 2) * x * y
return sample
def test_MathOperations_exponent(self):
self.assertEqual(16, Exponent.power(4, 2))
def Power(self, a, b):
self.Result = Exponent.power(a, b)
return self.Result
def test_calculator_exponent(self):
self.assertEqual(169, Exponent.power(13,2))