I have published my article Normal Distribution (with python) in medium.
The python code can be viewed at:
Standard Normal Distribution
A Normal Distribution (Gaussian) is a continuous probability distribution. The normal distribution is sometimes referred to as a bell curve.
Standard Normal Distribution is a specific case of normal distribution where μ= 0 and σ = 1 (i.e mean is 0 and standard deviation is 1)
Some of the properties of a standard normal distribution are mentioned below:
- The normal curve is symmetric about the mean and bell shaped.
- Mean, mode and median is zero which is the centre of the curve.
- Approximately 68% of the data will be between -1 and +1 (i.e. within 1 standard deviation from the mean), 95% between -2 and +2 (within 2 SD from the mean) and 99.7% between -3 and 3 (within 3 SD from the mean)
For more details please refer to the above links.
You can also refer to my blog for the article details: