Lesson 36: Project Peer Review


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ImportantProject Presentation – 5 May (Lesson 38)

Your project presentation is Tuesday, 5 May 2026 (Lesson 38).

Required: invite one non-cadet – a TAC, coach, mentor, or other faculty member – to your presentation. Tell them the project title, the classroom, the date/time, and what you’ll be presenting.

Email rule: BCC me on the invite – do not CC me. Use dusty.turner@westpoint.edu in the BCC line.

Suggested invite template (fill in the bracketed fields):

ImportantTEE Schedule
Section 12 May
0730–1100
13 May
0730–1100
15 May
1300–1630
A2 2 0 15
B2 1 0 17
C2 3 1 12

12 May, 0730–1100

  • EDDY, ELLIOT G
  • HARDER, ETHAN W
  • JENKINS, KEIRA M
  • KALIDINDI, HEERA S
  • NEWTON, SEAN J

13 May, 0730–1100

  • PHELPS, JOHN M

15 May, 1300–1630

  • AIRD, ZANDER A
  • ASHLEY, CAIDEN E
  • BOOZER, CURTIS M
  • CARTER, ISAAC M
  • DWYER, LUKE P
  • GARMON, MICHAEL H
  • HOLTMAN, ETHAN M
  • KELLY, BRENDAN R
  • MCFARREN, SYDNEY L
  • MCGREGOR, AUSTYN J
  • MERIDETH, JUDSON W
  • O’CONNOR, OWEN W

12 May, 0730–1100

  • FEDALIZO, BALTAZAR C

13 May, 0730–1100

  • WEGNER, DYLAN D

15 May, 1300–1630

  • BARTOSH, BRIGHAM A
  • CHEN, JUSTIN R
  • CUETO, NICHOLAS C
  • DIOP, KHADIJA
  • GRIFFIN, CAMERON J
  • HEKIMIAN, MARY RAY M
  • ISONIEMI, JONATHAN A
  • JEFFREY, ALEXANDER M
  • KIM, DOYEE
  • LEDFORD, PEYTON R
  • LEE, CALEB S
  • MAESTAS, NATHAN J
  • MULHOLLAND, THOMAS P
  • NEWMAN, NICHOLAS P
  • RIBAS, HELEN A
  • ROSS, JAMES C

12 May, 0730–1100

  • CALABRESE, BENJAMIN C
  • HONG, RAYMOND
  • KWAK, TREVOR J

13 May, 0730–1100

  • GRAY, WILLIAM C

15 May, 1300–1630

  • BANZUELA, JOSHUA M
  • BRADLEY, GAVIN M
  • BRAEGER, SYDNEY M
  • CASTINO, RYLEN J
  • CATALDO, JUSTIN J
  • DIAL, NADIA J
  • HARTLEY, JETT M
  • LINEBERGER, JAYDEN D
  • PAYNE, BRENNA N
  • POULTER, ZANE C
  • PRATT, NATHAN C
  • PROKOP, ANYA A

What We Did: Lesson 35

  • Pairwise \(t\)-tests inflate the family-wise false-positive rate (1 - 0.95^6 ≈ 26.5% for 4 groups)
  • ANOVA asks one question – “do any group means differ?” – with a single test at level \(\alpha\)
  • \(H_0: \mu_1 = \mu_2 = \cdots = \mu_k\) vs. \(H_a:\) at least one differs
  • \(F = MSR / MSE\) on \((k-1,\ N-k)\) df; reject when \(F\) is large
  • R: aov(y ~ group, data = df) then summary()

What We’re Doing: Lesson 36

Objectives

  • Bring your 85% Tech Report with 3 printed copies
  • Give and receive structured peer feedback from 3 classmates
  • Walk out with a concrete revision list before final submission

Required Reading

No new reading – bring your draft and a pen.


Break!

The Kids

Track Meet

Softball

Flooded Basement

A Note from Reese


DMath Frisbee!! - Semi Finals

Math vs SCPME / BSL

2-0; Score 16-0

DMath Frisbee!! – Finals

Math vs SCPME / BSL

3-0; Score 16-1


Bonus


How the Peer Review Works

What You Are Looking For

ImportantFive questions to ask of every section
  1. Are the ideas clearly communicated?
  2. Can you read the charts? (titles, axes, units, legible)
  3. Are the tables quality? (clean, labeled, no raw R dumps)
  4. Do they have all the required sections?
  5. Are the sections filled in and sound?

Logistics

  • 3 printed copies of your draft
  • You will exchange with 3 classmates (rotate through 3 review pairs)
  • 10 minutes per review
  • Reviewer marks the paper directly (margin notes welcome) and walks the rubric below
  • You leave with 3 marked-up copies and a written list of revisions

Use the Actual Project Rubric

Score your peer the way the graded rubric scores them. Anywhere they’re losing points now, they should fix before final submission.

NoteTech Report Rubric (125 points)
Category Component Points
IPR Briefing Preparedness and content (LSN 37) 10
Exec Summary & Intro BLUF, data description, descriptive stats 10
One-Sample Test EDA, methodology, results, interpretation 20
Two-Sample Test EDA, methodology, results, interpretation 20
Regression EDA, methodology, results, diagnostics, interpretation 30
Discussion & Conclusions Synthesis, limitations, recommendations 15
Professionalism Writing quality, figures, tables, formatting 20

Source: MA206X Project Instructions

For each rubric row, ask the five takeaway questions above:

  • Are the ideas clear?
  • Can I read the charts?
  • Are the tables quality?
  • Is the section present?
  • Is it filled in and sound?

If any answer is “no,” that’s a comment for your peer.


Before You Leave

Today

  • Mark up all three of your peers’ drafts using the rubric above
  • Build your own revision list from the three reviews you received
  • Confirm your non-cadet guest for the 5 May presentation and BCC me on the invite

Any questions?


Next Lesson

Lesson 37: ANOVA II

  • Two-way ANOVA: blocking and factorial designs
  • Interaction effects across factors
  • Multiple comparisons (Tukey HSD) in detail
  • Devore 10.2

Upcoming Graded Events

  • Tech Report (final) – see Canvas
  • Project Presentation5 May 2026 (Lesson 38), Lesson 39 follow-on
  • TEE – 12, 13, 15 May 2026 (per section schedule above)