So now running the phase 1 displays statistics for each column...

1. The first, second (median) and third quartiles

2. The standard deviation

3. The variance

This section will eventually also contain the P value for the chi-square goodness of fit test.

Then, the output that was calculated for each digit in each row is displayed side by side.

The digit, the frequency, the classification (H, N or C), the percentage of the digit's frequency to the whole model (150 draws), and now the number of draws since it's last appearance. This is repeated for each column. So 0, for example, shows the data for 0 in the first column, then the second column and the third column. This stretches out 2 more columns when looking at the pick 5.

The new metric of last appearance was easy to test, by comparing the number given to it's position in the history file, for each column.

Now, I need to figure out how to interpret the data. This first week the following scenario was used...

1. Look at the percentages closest to the median.

2. If there is a tie, use the lowest last appearance as the tie breaker.

So going forward, this will be evaluated each week, to see if things need to be changed. Maybe furthest out is better? Maybe instead of the median as a guide, look at numbers about to transition classifications? There will be plenty of time to experiment until I have something resembling a phase 2 implementation... but the all neutral QP generator will be retired for the time being.