HACKERRANK SOLUTIONS 10 DAYS OF STATISTICS

 HACKERRANK SOLUTIONS -

10 DAYS OF STATISTICS

DAY 0 - MEAN, MEDIAN AND MODE

SOLUTION-1 - in PYTHON

Concepts - NUMPY, SCIPY

import numpy as np

from scipy import stats

size = int(input())

numbers = list(map(int, input().split()))

print(np.mean(numbers))

print(np.median(numbers))

print(int(stats.mode(numbers)[0]))

DAY 0 - WEIGHTED MEAN 

SOLUTION-1 - in PYTHON

Concepts - MATHS

def weightedMean(X, W):

    sum_xw = 0

    sum_w = 0

    for i in range(len(X)):

        sum_xw += (X[i]*W[i])

        sum_w += W[i]

    weightedMean = round((sum_xw/sum_w), 1)

    print(weightedMean)