Intro Stats - Interpretation write-up template

In a real course, you do not stop at “I ran the script.” You write a short interpretation.

This pack includes a tiny template you can copy and fill in:

  • writeups/intro_stats_interpretation_template.md

Why a template?

Beginners often know how to compute numbers but are not sure what to say. A template gives you a safe structure:

  • what the question was,

  • what you found (with numbers),

  • what it means in plain language,

  • what you are not claiming.

How to use it

From the repo root (or your workbook starter folder), copy the template:

cp writeups/intro_stats_interpretation_template.md writeups/intro_stats_my_writeup.md

Open writeups/intro_stats_my_writeup.md in your editor and fill in the blanks.

What to include (minimum)

  • Descriptives: group means and SDs (from Part 1)

  • Uncertainty: a CI for the mean difference (from Part 4)

  • Test: a p-value from the permutation test (from Part 5)

  • Effect size: Cohen’s d or Hedges’ g (from Part 5)

Optional:

  • a sentence about outliers (from Part 3)

  • a sentence about limitations (“small sample”, “single school”, etc.)

Check

When you want to confirm the pack is still working end-to-end:

pystatsv1 workbook check intro_stats

That test is a “smoke test” - it confirms the dataset and basic effect pattern match the lesson.