August 2019
Intermediate to advanced
342 pages
9h 35m
English
In mathematical terms, the Gaussian distribution (also known as the normal distribution) represents a probability distribution of random variables, which takes the following mathematical form:

Here, µ represents the average, and σ2 is the variance (which is representative of the variability of the data around the average value). In its standard form, the mean, µ, assumes the value of 0, and σ2 assumes the value of 1.
The strength of the Gaussian distribution is the central limit theorem, which, in general terms, establishes that the average of the observational data of a random variable—extracted independently—converges ...
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