import statistics
a = [1,2,3,4,5]
mean = statistics.mean(a)
#Similar for other values such as variance, standard deviationdef 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))# --------------------- MEAN ---------------------
# Dataset for questions -
dataset = [2, 1, 1, 4, 5, 8, 12, 4, 3, 8, 21, 1, 18, 5]
# Finding sum of dataset
sumOfDataset = sum(dataset)
# Finding length of dataset
lenOfDataset = len(dataset)
# Calculating the mean by dividing the sum of dataset with the length of dataset
mean = sumOfDataset / lenOfDataset
# Printing the mean of dataset
print(mean)