Quick takeaways: 1) From simple visualizations, it doesn’t look like there are correlations between stats, either in the aggregated population or in either the hero or failed-hero populations. 2) I decided to base my stat increases on what would add the most probability of success for improving that stat, looking at each stat in isolation, where success probabilities were estimated by simply tabulating the fraction of students with that particular stat value ended up heroes. 3) Based on that measure, I decided to go with +4 Cha, +1 Str, +2 Wis, +3 Con, and I wish I could reduce my Dex.
~2 hours’ of analysis here: https://github.com/sclamons/LW_Quest_Analysis, notebook directly viewable at https://nbviewer.jupyter.org/github/sclamons/LW_Quest_Analysis/blob/main/lw_dnd.ipynb.
Quick takeaways:
1) From simple visualizations, it doesn’t look like there are correlations between stats, either in the aggregated population or in either the hero or failed-hero populations.
2) I decided to base my stat increases on what would add the most probability of success for improving that stat, looking at each stat in isolation, where success probabilities were estimated by simply tabulating the fraction of students with that particular stat value ended up heroes.
3) Based on that measure, I decided to go with +4 Cha, +1 Str, +2 Wis, +3 Con, and I wish I could reduce my Dex.