I have a set of log-normal distributed values below.

I want to find the log-normal curve, which describes the shape of the distribution. I took the default log-normal formular and tried some values ([see at Function Plotter](https://functionplotter.com/#W3sidHlwZSI6MCwiZXEiOiIxL3NxcnQoMipwaSp4KjAuMDEyKSpleHAoLShsbih4KS0yLjcpXjIvKDIqMC42XjIpKSIsImNvbG9yIjoiI0JEODA4MCJ9LHsidHlwZSI6MTAwMCwid2luZG93IjpbIjAiLCIyMDAiLCIwIiwiMSJdLCJzaXplIjpbNzAwLDM1MF0sInNob3dncmlkIjowfV0-)):

```
1 / sqrt(2*pi*x*0.012) * exp(-(ln(x)-2.7)^2/(2*0.6^2))

```

**But how can I find the exact parameters for my formular, so that the curve fits to the distribution?** Can I do this using Mean/SD/Skewness/Kurtosis?

```
Mean: 23.8
Standard deviation: 21.9
Skewness: 2.28
Kurtosis: 12.3

```

Left image is my distribution, right image is the distribution and the curve together:

[Log normal](https://i.stack.imgur.com/3Oezf.png)