scaffolding-grad-school-pset

What problem does it solve?

This Skill turns a graduate statistics or quantitative-methods assignment into a disciplined notebook scaffold so the user can work in the right order, avoid common grading mistakes, and present analysis in a format instructors expect.

Core Features & Use Cases

• Structured notebook generation: Builds a six-part workflow for data audit, assumption checks, tests, effect sizes, and interpretation.
• Stats-first discipline: Forces assumption checking before hypothesis testing and requires effect sizes and confidence intervals after results.
• Flexible academic support: Fits weekly problem sets, take-home exams, Bayesian assignments, and mixed Jupyter or R-based workflows.
• Example use case: A student receives a pset asking for group comparisons and regression, and the Skill creates a notebook layout with the right sections, placeholders, and reporting conventions already in place.

Quick Start

Ask for a scaffolded graduate statistics notebook and include the assignment prompt, data description, and preferred notebook stack.