Worksheet — Final Poster Session

Present your finished analysis as a poster and run a structured peer review

The final class meeting. Students present their completed project as a poster, walk classmates through the analysis, and complete a structured peer review of three other posters.

Final Poster Session

Your project is done. Today you present it as a poster and review three others. This is the last piece of your project grade.

What a good poster has

Section	What goes here
Title + your name	The finding, not the topic. “Shady leaves are heavier than sunny leaves” beats “A study of leaf weight”.
Introduction	2–3 sentences: the question and why it matters. H₀ / Hₐ.
Methods	The dataset (source, n, X, Y) and the test, in 2–3 sentences. No code.
Results	One clean figure (the take-home graph) + the numbers that go with it (test statistic, df, p, effect direction) as a short caption or a small table.
Discussion	What the result means, one limitation, one next step.
Reproducibility note	One line: “Analysis in R; .qmd + data available on request / at <link>.”

Format

• One page, landscape, readable from ~1 m away (title ≥ 60 pt, body ≥ 24 pt).
• Export to PDF from your Quarto doc, a slide, or a poster template — your choice.
• The figure must be the one you built and saved in R at dpi = 300.

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The session

1. Set-up (10 min): posters up / on screen.
2. Round 1 — you present (2 min each): walk a small group through your poster: the question, the figure, the result, one caveat.
3. Round 2 — you review (rotate): visit three other posters and complete the review form below for each.
4. Wrap-up: hand your three completed forms to those presenters.

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Peer review form

Complete one for each of the three posters you visit.

Poster by: ____________________        Your name: ____________________

1. The finding, in your own words:


2. Figure check:
   - Can you read the axes and understand what's plotted?   yes / no
   - Does the figure actually support the finding?          yes / partly / no
   - One concrete way to make the figure clearer:


3. Stats check:
   - Are the test, statistic, df, and p-value all reported?  yes / partial / no
   - Does the test match the design (X and Y)?               yes / no / not sure


4. Reproducibility: is there a figure that was clearly made in R (not Excel)?   yes / no

5. Strongest part of this poster:

6. One thing that would most improve it:

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What you turn in

• Your poster (PDF)
• Your Quarto source (.qmd) and data file (or a working link)
• Three completed peer-review forms for the posters you visited

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End of the course. Nice work — you now have a reproducible analysis you built from a raw dataset to a finished figure.