import statistics
a = [1,2,3,4,5]
mean = statistics.mean(a)
#Similar for other values such as variance, standard deviationimport statistics
list_one = [1,2,3,4,5,6]
x = statistics.mean(list_one)
print(x)def calculate_mean(n):
s = sum(n)
N = len(n)
mean = s / N
return meanimport numpy as np
values=[1,10,100]
print(np.mean(values))
values=[1,10,100,np.nan]
print(np.nanmean(values))def cal_average(num):
sum_num = 0
for t in num:
sum_num = sum_num + t
avg = sum_num / len(num)
return avg
print("The average is", cal_average([18,25,3,41,5]))