Permutations and Combinations - Hands-on- Probability and Statistics - Statistical Measures -1- HackerRank Fresco Play

Probability and Statistics - Statistical Measures

In this scenario, you will be exploring the most commonly used statistical measures

1. Mean
2. Median
3. Standard Deviation
4. Variance
5. Mode
6. Inter Quartile Range

Function Description

Function Name: measures()

1. Input:

• arr - Numpy array

2. Output:

• mean, median, std_deviation, variance, mode, iqr : tuple of results
• Note: Every value must be rounded off to 2 decimal places

Answer:

import numpy as np

from scipy import stats

import statistics

def measures(arr):

    #Write your code here

    '''

    Input: arr : numpy array    

    Return : mean,median,std_deviation,variance,mode,iqr  : float

    

    Note: 

    1. Assign the values to designated variables

    2. Round off to 2 decimal places

    '''

    q3, q1 = np.percentile(arr, [75 ,25])

    

    arr = np.array(arr)

    mean = round(np.mean(arr),2)

    median = round(np.median(arr),2)

    std_deviation=round(np.std(arr),2)

    variance=round(np.var(arr),2)

    mode=round(statistics.mode(arr),2)

    iqr=round((q3-q1),2)

    

    return mean,median,std_deviation,variance,mode,iqr   

if __name__=='__main__':

    array1=[]

    n=int(input())

    for i in range(n):

        array1.append(float(input()))

    narray1=np.array(array1)

    print(measures(narray1))

    

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