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Firstly, understanding how to construct a histogram will make understanding the Normal Distribution aka Gaussian Distribution much easier.

It is still an arrangement of a data set in which most values cluster in the middle of the range and the rest taper off symmetrically toward either extreme. The result is a bell-shaped curve which we can describe using two factors: mean and standard deviation. Just like a histogram, the more area there is, the more data points there are. However, the Normal Distribution gives us a probability instead.

The precise shape can vary according to the distribution of the population but the peak is always in the middle and the curve is always symmetrical. In a normal distribution, the mean, mode and median are all the same.