About
This skill transforms Claude into a high-level quantitative researcher capable of performing complex statistical tests, verifying data assumptions, and calculating effect sizes. It ensures mathematical rigor by guiding the selection of frequentist or Bayesian models while prioritizing practical significance over simple p-values. Ideal for researchers and data scientists, it prevents common errors like p-hacking by enforcing a standardized protocol for data auditing, validation, and reporting, ensuring every numerical claim is backed by appropriate statistical evidence.
