Explore the data, choose the distribution, validate it, predict, and recommend.
Ten cases, each with 100 real-looking measurements. Work through them the way the class decision map does: understand the data, pick a distribution, test it, predict, then recommend.
Each step is worth 2 points (10 per case, 100 per game). A right answer on the first try earns 2 points; on the second try it earns 1. A wrong answer shows the hint, and after two wrong answers the answer is revealed. Each correct step adds real results (charts, fits, and test p-values) to the case file. You get 1 free hint per game; after that, each hint you ask for costs 1 point.