Table of Contents

    Hands-On Guide: Calculating Average, Median, Mode, Standard Deviation, Variance, and Interquartile Range

    Rumman Ansari August 05, 2024 869 views
    Scenario

    The following table lists the marks of students. Find the average, median, mode, standard deviation, variance, and Interquartile range mark of the class.

    Name Marks
    A 90
    B 86
    C 70
    D 95
    E 95
    F 95
    G 95

    Solution in Python 

    
from scipy import stats 
import numpy as np 
import statistics 
data ={"A": 90,"B": 86,"C":70,"D":95,"E":95,"F":95,"G":95} 
values = list(data.values()) 
print("Mean") 
print(np.mean(values)) 
print("Median") 
print(np.median(values)) 
print("Mode") 
print(statistics.mode(values)) 
print("Standard Deviation") 
print(np.std(values)) 
print("Variance") 
print(np.var(values)) 
print("range") 
print(stats.iqr(values))```