Defend a reproducible evidence package
Begin by reconstructing the evidence lineage.
Submit the lineage manifest, environment controls, clean-run verification, AI decision log, sensitivity record, failures, and strongest licensed conclusion.
Where do I get my data?
Use the scores dataset from the R lab — or reuse data and code from any earlier module assignment. This module is about reproducibility: prove that your stochastic output regenerates under a fixed seed, fingerprint the evidence, and compare reasonable specifications.
Prefer your own dataset? You can use any built-in R dataset or add your own CSV under Your data in the R lab (files up to 500 MB stay in your browser). But reusing a prior module's data is ideal — it shows you can make existing work reproducible.
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