Normality

You are right that it is not a log scale. It is a cummulative normal distribution scale and that’s why you get a normal probability plot paper instead of a log plot papaer.
The “procedure” to make the cummulative probability scale is as follows:
- Draw an equally spaced scale paralel to what will be the cummulative probablity scale.
- In the middel of that scale mark “0″, and then mark negative numbers down (or left) of zero and possitive numbers up (or right) of zero. That numbers will be the standard deviations from the average or , what’s the same, the Z value in the standardized normal distribution (average 0, standard deviation 1). How far to go with the possitive and negative numbers? That depends on how close from 0% and 100% you want to get. You know, at ±3 sigmas you have from 0.135% to 99.865%, at ±4.5 sigmas you have from 0.00034% to 99.99966%, and so on.
- Now you have two choices: Select the sigma value (Z) and find the corresponding cummulative probability (in Excel you can use =NORMSDIST(Z value) ), or select the cummulative probability and find the corresponding sigma value (in Excel you can use =NORMSINV(cummulative probability) )
- Match the cummulative probability values in the cummulative probability axes with the corresponding Z values in the Z values axis.
- You are done.
If you still cannot work it out, then post your e-mail and I will send you an example in excel. But try it yourself first, ok?