# Histogram with Gaussian bell curve

How do I create/calculate the probability density curve in a histogram which is scaled to the frequency axis with ABSOLUTE values (example)? The curve should be based on the calculated average and the deviation.

Thanks!

I found it myself finally:

As known the relative frequency $H$ at a certain value $x$ is calculated by the probability density function:

$$H = \frac{1}{\sigma\sqrt{2\pi}} e^{-\frac{(x-\mu)^2}{2\sigma^2}}$$

• with $\mu$ as the average value
• $\sigma$ as the standard deviation

in order to create a density curve which is scaled to a histogram the class width $K$ used in the histogram is needed. Now the absolute frequency for a class width $K$ at a certain value $x$ is now simply calculated by:

$$H = \frac{1}{\sigma\sqrt{2\pi}} e^{-\frac{(x-\mu)^2}{2\sigma^2}}Kn$$

• with $K$ as the used class width in the histogram
• $n$ as the total number of values

So, in order to fit the ideal Gaussian curve for normal distributed values in the histogram with absolute frequencies the class width $K$ is needed.