stat_2.py

import math
import os
import random
import re
import sys

#
# Complete the 'weightedMean' function below.
#
# The function accepts following parameters:
#  1. INTEGER_ARRAY X
#  2. INTEGER_ARRAY W
#

def weightedMean(X, W):
    numerator=[]
    for i in range(len(X)):
        for j in range(len(W)):
            if i==j:
                numerator.append(X[i]*W[j])
    # print(numerator)
    denominator= sum(W)
    # print(denominator)
    print((sum(numerator)/denominator))   ## Weighted Average 


if __name__ == '__main__':
    n = int(input().strip())

    vals = list(map(int, input().rstrip().split()))

    weights = list(map(int, input().rstrip().split()))

    weightedMean(vals, weights)