Member-only story
Use Python to explain the normal distribution in simplistic terms
I have been studying Python and statistics for a few years now, so I thought it would be a good idea to write a blog post on what I have learned about the subject.
Normal distribution
The shape of the normal distribution is bell shaped and is characterised by two parameters, being the mean and the standard deviation.
The mean is the average of all of the data points and is the central point of the distribution.
The standard deviation tells the scientist how spread out the numbers are around the mean in a dataset, revealing how much the data varies from the mean. It plays a crucial role in determining the shape and spread of the distribution.
The standard deviation measures each distance between each data point from the mean. It determines the width of the bell curve:-
- A smaller standard deviation means that the data points are closer to the mean, resulting in a narrower bell curve.
- A larger standard deviation means the data points are spread out, resulting in a wider bell curve.
The normal distribution, also known as a bell curve, is symmetrical, with most of the data clusters centring around the mean, or average.The normal distribution follows the…
