Python Coding challenge - Day 397| What is the output of the following Python Code?

Code Explanation:

from scipy.stats import norm

scipy.stats is a module from the SciPy library that provides a wide range of probability distributions and statistical functions.

norm is a class from scipy.stats that represents the normal (Gaussian) distribution.

This line imports the norm class, allowing us to work with normal distributions.

mean = norm.mean(loc=10, scale=2)

Here, we are using the .mean() method of the norm class.

The .mean() method returns the mean (expected value) of the normal distribution.

The parameters:

loc=10: This represents the mean (μ) of the normal distribution.

scale=2: This represents the standard deviation (σ) of the normal distribution.

Since the mean of a normal distribution is always equal to loc, the result is 10.

Mathematically:

E(X)=μ=loc

Thus, norm.mean(loc=10, scale=2) returns 10.

print(mean)

This prints the value stored in the mean variable.

Since mean was assigned 10 in the previous step, the output will be:

10.0

Final Output:

10.0