scaffolding-grad-school-pset

Structure a graduate statistics notebook by applying a six-part scaffold that enforces data audits, assumption checks before tests, and effect sizes with confidence intervals after results. This workflow ensures a disciplined, grade-ready layout.

Yes, you can use this notebook scaffold for Bayesian inference assignments in Quarto. It supports frequentist and Bayesian workflows across Jupyter, RMarkdown, and Quarto for hypothesis tests, regression, and take-home exams.

The correct workflow for reporting confidence intervals in a pset requires calculating effect sizes with confidence intervals after running tests, followed by filling interpretation cells with explicit direction statements to meet academic reporting standards.

Yes, this stats pset scaffold works with both Jupyter notebooks and RMarkdown. It generates sectioned workflows with placeholders and reporting conventions tailored for mixed Jupyter or R-based quantitative method assignments.

Generate a grade-ready layout for a take-home statistics exam by providing the assignment prompt, data description, and preferred notebook stack. The system builds a sectioned workflow enforcing data audits, assumption checks, and interpretation cells.