def cintreval(list):
try:
mean_var = mean(list)
cin = 0.95
value_of_z = (1-cin) / 2
stdev_var = stdev(list)
n = sqrt(len(list))
result = [mean_var - value_of_z*stdev_var / n, mean_var + value_of_z*stdev_var / n]
return result
except Exception as e:
print("Error with Cintreval")
return [0,0]
def Variance_of_population_proportion(list):
listx = []
listy = []
std = stdev(list)
for row in range(0,len(list)):
if list[row] <= std:
listx.append(int(list[row]))
else:
listy.append(int(list[row]))
p = (len(listx)*100/len(list))/100
q = 1 - p
c = (p*q)/len(list)
return c
def zscore(z, list):
c = (z * stdev(list)) + mean(list)
return c
def stdev_(self, list):
self.result = stdev(list)
return self.result
def samplestdev(list):
s = 50
r = Sample(list, s)
c = stdev(r)
return c
def population_correlation_coefficient(a, b):
x = cov(a, b)
y = stdev(a) * stdev(b)
c = x / y
return c