Code Explanation:
from scipy.stats import norm:
This imports the norm module from the scipy.stats library. The norm module deals with normal (Gaussian) distributions. It provides various methods and functions to work with the normal distribution, such as generating random variables, calculating probability densities, and computing moments like the mean.
norm.mean(loc=10, scale=2):
The mean() function in scipy.stats.norm calculates the mean of a normal distribution.
loc represents the mean of the normal distribution. In this case, loc=10, meaning the mean is 10.
scale represents the standard deviation of the distribution. Here, scale=2, meaning the standard deviation is 2.
The mean of a normal distribution is given by the loc parameter, so the mean in this case will be 10.
print(norm.mean(loc=10, scale=2)):
This prints the result of norm.mean(loc=10, scale=2), which is simply the mean of the normal distribution with the given parameters.
Since the mean of a normal distribution is defined by the loc parameter, the output will be 10.
Final Answer:
The output of the code is 10.
C: 10
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