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Python Exercise Lists

Python Numpy Data Analysis Exercises 7

7. Write a Python Numpy program to calculate the mean, standard deviation and variance of the given array in the following output.

The output is:

Expected Answer:
Initial array: [1 2 3 4 5]
Mean: 3.0
Standard deviation: 1.707825127659933
Variance: 2.9166666666666665

Sample Answer 1:

import numpy as np
a = np.arange(1, 6)
print("Initial array:", a)

b1 = np.mean(a)
print("\nMean: ", b1)

c1 = np.std(x)
print("\nStandard deviation: ", c1)

d1= np.var(x)
print("\nVariance: ", d1)

Sample Answer 2:

import numpy as np
a = np.arange(1, 6)
print("Initial array:", a)

b1 = np.average(a)
print("\nMean: ", b1)


c1 = np.sqrt(np.mean((x - np.mean(x)) ** 2 ))
print("\nStandard deviation: ", c1)

d1 = np.mean((x - np.mean(x)) ** 2 )
print("\nVariance: ", d1)









                                                            


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