def standardised_score(my_pop):
my_mean = mean(my_pop)
my_sd = popstand(my_pop)
standardised_score = float(list())
for x in my_pop:
my_score = (x - my_mean) / my_sd
standardised_score.append(my_score)
return standardised_score
def confidence_interval(numbers):
num_value = len(numbers)
result = popstand(numbers)
result2 = squareroot(num_value)
sample_error = division(result2, result)
margin_error = multiplication(
1.96, sample_error) # 1.96=z_value for 95% confidence interval
result4 = addition(result, margin_error)
result5 = subtraction(margin_error, result)
return result4, result5
def confidence(self):
d = []
for row in self.data.data:
d.append(row['v'])
self.result = popstand(d)
return self.result