def median(numbers: float):
numbers = sorted(numbers)
if len(numbers) % 2 == 1:
centerIndex = int(calcOperations.division(len(numbers) - 1, 2))
median = numbers[centerIndex]
else:
leftIndex = int(
calcOperations.subtraction(
calcOperations.division(len(numbers) - 1, 2), 0.5))
rightIndex = int(
calcOperations.addition(
calcOperations.division(len(numbers) - 1, 2), 0.5))
median = calcOperations.division(
calcOperations.addition(numbers[leftIndex],
numbers[rightIndex]), 2)
return float(median)
def zScore(numbers: list) -> list:
zScores = []
standardDeviation = StatisticsOperations.standardDeviation(numbers)
mean = StatisticsOperations.mean(numbers)
for number in numbers:
zScores.append(
calcOperations.division(
calcOperations.subtraction(number, mean),
standardDeviation))
return zScores
def variance(numbers: list) -> float:
mean = StatisticsOperations.mean(numbers)
squaredDifferences = []
for number in numbers:
squaredDifferences.append(
calcOperations.square(calcOperations.subtraction(mean,
number)))
variance = calcOperations.division(sum(squaredDifferences),
len(numbers))
return variance
def mean(numbers):
sum = 0.0
for number in numbers:
sum = calcOperations.addition(sum, number)
return calcOperations.division(sum, len(numbers))
def divide(self, x, y):
self.results.append(calcOperations.division(x, y))
return self.results[-1]