Normal Distribution (with Python)

//Normal Distribution (with Python)

Normal Distribution (with Python)

I have published my article Normal Distribution (with python)  in medium.

Link

https://medium.com/@balamurali_m/normal-distribution-with-python-793c7b425ef0

The python code can be viewed at:

Normal Distribution

https://gist.github.com/balamurali-m/692c973e4e4804754352e9f5679592e7

Standard Normal Distribution

https://gist.github.com/balamurali-m/562f3f187d5d7cc7692de71dfd7f1120

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:

  1. The normal curve is symmetric about the mean and bell shaped.
  2. Mean, mode and median is zero which is the centre of the curve.
  3. 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:

Normal Distribution (with Python)

2018-08-12T20:08:23+00:00

About the Author:

Balamurali M
Hello I am Balamurali M. My areas of interest are Data Science, Machine Learning, Statistics, Management, Business analytics and Mathematics. I can be reached at: Twitter : https://twitter.com/Balamu_M , LinkedIn : https://www.linkedin.com/in/balamurali-m-43b022168/

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