Gaussian Distribution - Normal Distribution - Normal Distribution Curve- Gaussian Probability Curve

Published: 17 October 2018
on channel: Engineering Made Easy

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This video is about the Gaussian distribution also known as a normal distribution. Here we will discuss the normal distribution curve (gaussian probability curve).
Various properties of the plot of gaussian probability density function (gaussian PDF curve) are explained here.
Normal distribution plot examples are also mentioned in this video.
In this video you will also find the formula for Gaussian random variable.
Gaussian probability density function is a very common continuous probability distribution. It is a symmetrical about the mean value and has peak value at this mean value.
The area under the Gaussian PDF curve below and above the mean value is half.
For this gaussian probability density function curve, its first derivative is positive for x less than m (mean value), equal to zero at x=m and negative for x greater than m.

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