What is normal distribution?
Data can be distributed in any form. Data represented on a graph could be spread out more on the right or left side, it could be spread out randomly, or it could be in the center. The data that is distributed in the center forms a “bell curve” – this kind of distribution is called a normal distribution.
Normal distribution
Normal distribution has the following properties:
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The mean, median, and mode all are equal
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The data is symmetric on both sides of the center, i.e., 50% of the data is on the right side (greater than mean) and 50% on the left (less than mean)
Example
The graph on the right represents the relationship between the number of adult men and their height. The data in this graph is normally distributed. From the graph data, we can calculate that 70 inches is the mean, median, and mode height for adult men.
Code
# import numpyfrom numpy import random# generating a random normally distributed array# of size 5arr = random.normal(size=(1, 5))# printing arrayprint(arr)
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