def cochran(sample, confidence_level):
# Validations
check_for_valid_numbers(sample)
empty_list_check(sample)
# Formula: (Z^2)(p)(q) / (e^2) -> https://www.statisticshowto.com/probability-and-statistics/find-sample-size/
# Assuming p is 0.5
# calculate z from a given confidence interval
z = CalculateZValue.calculate_zvalue(confidence_level)
margin_of_error_result = square(margin_of_error(sample, confidence_level))
return division(margin_of_error_result,
multiplication(multiplication(square(z), 0.5), 0.5))
def margin_of_error(self, sample, confidence_level):
self.result = margin_of_error(sample, confidence_level)
return self.result
def margin_of_error(self, a, b, z, N):
data = listofNumNoSeed(a, b)
sample = simple_rand_sampling(data, N)
self.result = margin_of_error(sample, z, N)
return sample, self.result
def margin_of_error(self, data, p):
self.result = margin_of_error(data, p)
return self.result
def confidence_interval_sample(data, x):
me = margin_of_error(data, x, 1)
x_bar = mean(data)
return x_bar - me, x_bar + me