Week 9 — Graph & Model Workshop · "Build the Cost Curves — and Catch the AI's Arithmetic"
Course: Principles of Microeconomics (ECON 1) · Silver Oak University (fictional sample) · Prof. Kessler
Objective 5 — production & cost relationships · SLO A
Worth 50 points · Model Workshops group = 15% of the grade · Workshop 9
Format: enter a cost schedule into a spreadsheet (Google Sheets or Excel, free), compute the four per-unit cost curves, find the minimums, and then catch the AI's errors in its own cost-table output.
This is the course's signature weekly component — the economics analog of a lab. Every workshop: you set up a model, solve it, and explain what it means. All tools are links to free external sites — nothing to buy or download.
Part 1 — The Big Picture
This week you crossed from the market level (Weeks 1–8) to the firm level. The cost curves you build today — AFC, AVC, ATC, and MC — are the mechanical heart of everything in Weeks 10–12: where a perfectly competitive firm produces, whether a firm shuts down, and how a monopolist chooses its output. Get the curves right now; everything else clicks.
The tools: a spreadsheet (Google Sheets: https://sheets.google.com or Excel on your computer). You will enter a cost schedule and let formulas do the work.
Part 2 — The Guiding Question
How does a firm's per-unit cost change as it produces more — and why does the marginal cost curve cut through both the AVC and ATC curves at their lowest points?
The scenario. A firm has fixed cost FC = $60. Its variable costs follow this schedule:
| Q | VC |
|---|---|
| 1 | 40 |
| 2 | 70 |
| 3 | 90 |
| 4 | 120 |
| 5 | 160 |
| 6 | 210 |
Part 3 — Set Up the Model (in a spreadsheet)
- Open Google Sheets (https://sheets.google.com) or Excel.
- Label columns: Q · VC · TC · AFC · AVC · ATC · MC
- Enter Q = 0 through 6 in column A, and the VC values above (with Q=0 having VC=0) in column B.
- Enter formulas — for a row where Q > 0 (let's say row 3 = Q=1):
- TC:=B3+60(VC + FC)
- AFC:=60/A3
- AVC:=B3/A3
- ATC:=C3/A3(or=E3+D3, which must give the same result)
- MC:=C3-C2(change in TC; for Q=1, TC(1)−TC(0) = TC(1)−60) - Fill formulas down through Q=6. Your completed table should match the verified numbers below (check it before moving on).
Part 4 — Solve (complete this scaffold)
Once your spreadsheet is built, verify it matches the verified cost schedule and fill in the blanks:
| Q | VC | TC | AFC | AVC | ATC | MC |
|---|---|---|---|---|---|---|
| 0 | 0 | 60 | — | — | — | — |
| 1 | 40 | 100 | 60 | 40 | 100 | 40 |
| 2 | 70 | 130 | 30 | 35 | 65 | 30 |
| 3 | 90 | 150 | 20 | 30 | 50 | 20 |
| 4 | 120 | 180 | 15 | 30 | 45 | 30 |
| 5 | 160 | 220 | 12 | 32 | 44 | 40 |
| 6 | 210 | 270 | 10 | 35 | 45 | 50 |
Using the table, answer these questions. Show the arithmetic.
| Question | Your answer |
|---|---|
| (a) What is TC at Q = 5? (Show: FC + VC = ?) | ______ |
| (b) What is ATC at Q = 5? (Show: TC ÷ Q = ?) | ______ |
| (c) At what quantity is ATC minimized? What is that minimum ATC? | ______ |
| (d) At what quantity is AVC minimized? What is that minimum AVC? | ______ |
| (e) At Q = 5: MC = 40 and ATC = 44. Is ATC rising, falling, or at its minimum? Why? | ______ |
| (f) At Q = 6: MC = 50 and ATC = 45. Is ATC rising, falling, or at its minimum? Why? | ______ |
| (g) Verify: ATC = AVC + AFC at Q = 5. Show the addition. | ______ |
Part 5 — Interpret in Words (this is the SLO-A skill)
In 3–4 sentences, explain in plain English:
- Why does AFC always fall as output increases? (Hint: the numerator and denominator — what stays constant, what grows?)
- Why do AVC and ATC both turn upward at higher output levels? (Hint: think about what happens to MC — and then apply the grade-average logic.)
- In your own words, what does it mean that MC cuts ATC at the ATC minimum? Why doesn't MC cut ATC somewhere else?
Part 6 — Analysis Questions
-
The AVC minimum is at Q = 3 (AVC = 30) and the ATC minimum is at Q = 5 (ATC = 44). The ATC minimum occurs at a higher Q than the AVC minimum. In one sentence, explain why — what is pulling ATC down even after AVC starts rising?
-
Suppose the firm's fixed cost doubled to FC = $120 (but VC stays the same). Without recomputing the whole table, predict: would the AVC curve change? Would the ATC curve change? Would the ATC minimum move to a different Q? Briefly explain each.
-
Connect it: a city has a fixed cost of $5 million per year for its bus fleet (loan payments, insurance) and a variable cost per bus-route of $200,000/year. Explain which category of cost maps to FC and which to VC — and what the AFC implication is for running more routes.
Part 7 — AI-Critique Moment (required — the BYOAI step)
Bring in your approved chatbot (Gemini, Claude, or ChatGPT) and be the economist who checks its work.
-
Paste this to the chatbot:
"A firm has FC=60 and VC: Q=1→40, Q=2→70, Q=3→90, Q=4→120, Q=5→160, Q=6→210. Compute TC, AFC, AVC, ATC, and MC for Q=1 through 6. At what Q is ATC minimized? At what Q is AVC minimized?" -
Audit every claim against your verified table:
- Did it compute TC = FC + VC (with FC=60 at every row), or did it forget to add FC and just report VC as TC?
- Did it get ATC minimum at Q = 5 (ATC = 44), or did it misidentify Q = 3 (the AVC minimum) as the ATC minimum?
- Did it get AVC minimum at Q = 3 (AVC = 30)?
- Did it compute MC = ΔTC correctly? (Common error: computing MC as AVC or as VC/Q.)
- Did it recognize that ATC = AVC + AFC at every Q? -
Write 2–3 sentences naming what the AI got right and at least one specific thing you caught or had to verify. (If it got everything right, describe step-by-step how you confirmed each claim — that verification is the skill.)
The habit all term: the tool drafts, you judge. Cost-table errors are among the most common chatbot mistakes in economics — confusing ATC with AVC, forgetting FC, or identifying the wrong minimum.
Part 8 — What to Submit
One document (or text entry) with: your Part 4 scaffold (with arithmetic), your Part 5 interpretation, your Part 6 answers, and your Part 7 AI-critique paragraph. A screenshot of your spreadsheet is welcome but optional. Due Sun, Nov 1, 11:59 p.m. (50 points).
Instructor answer key — REMOVE BEFORE PUBLISHING TO STUDENTS
Every number pre-computed and independently verified in Python. FC = 60 throughout.
Part 4 scaffold answers:
- (a) TC at Q=5: FC + VC = 60 + 160 = $220. ✓
- (b) ATC at Q=5: 220 ÷ 5 = $44. ✓
- (c) ATC minimized at Q = 5; min ATC = $44. ✓
- (d) AVC minimized at Q = 3 (and ties Q=4); min AVC = $30. ✓
- (e) At Q=5: MC = 40 < ATC = 44 → MC is below ATC → ATC is still falling (the next unit is cheaper than the current average, pulling the average down). ✓
- (f) At Q=6: MC = 50 > ATC = 45 → MC is above ATC → ATC is rising (the next unit is more expensive than the current average, pulling it up). ✓
- (g) AVC + AFC at Q=5 = 32 + 12 = 44 = ATC. ✓
Part 6 analysis:
1. AFC keeps falling (60/5=12, 60/6=10, etc.) and is added to AVC to get ATC. After Q=3, AVC starts rising — but AFC is still falling fast enough to offset it, pulling ATC down through Q=4 (ATC=45→44) until Q=5. After Q=5, the rising AVC dominates the falling AFC, and ATC turns up.
2. Doubling FC to $120 does NOT change AVC (VC stays the same). It DOES change ATC (ATC = AVC + AFC, and AFC doubles). The ATC curve shifts upward everywhere. Whether the minimum Q changes: with the same VC schedule, AVC min is still at Q=3. ATC min will still occur at a higher Q (the exact Q where MC first equals ATC — may be the same Q=5 or could shift by one unit depending on the new numbers). The qualitative answer (ATC min at a higher Q than AVC min) does not change.
3. FC = the $5 million loan/insurance (fixed regardless of routes). VC = the $200,000 per route. AFC = $5M ÷ (number of routes) — it falls as more routes are added, meaning the per-route fixed cost shrinks with more routes, a scale-economy argument for operating more bus lines.
Part 7 — common AI errors to look for: (1) computing ATC = VC/Q (forgetting to add FC before dividing); (2) reporting ATC min at Q=3 (confusing AVC min with ATC min); (3) MC errors (computing MC as TC/Q instead of ΔTC); (4) AVC min identified at the wrong Q.
Quantitative gate verification (Python):
- TC(1..6) = 100,130,150,180,220,270 ✓
- AFC(1..6) = 60,30,20,15,12,10 ✓ (always falls)
- AVC(1..6) = 40,35,30,30,32,35 ✓ (min at Q=3,4 = 30)
- ATC(1..6) = 100,65,50,45,44,45 ✓ (min at Q=5 = 44)
- MC(1..6) = 40,30,20,30,40,50 ✓
- ATC = AVC+AFC: Q=5: 32+12=44 ✓; Q=3: 30+20=50 ✓; all rows verified
Graph-logic check:
- AFC always falls: ✓ (60,30,20,15,12,10 — strictly decreasing)
- AVC U-shaped, min at Q=3/4 (=30): ✓ (MC crosses AVC at the flat bottom — MC(3)=20
Grading rubric — 50 points
| Criterion | Full | Partial | None |
|---|---|---|---|
| Scaffold (Part 4) — 7 questions answered with arithmetic; TC, ATC, mins, MC-vs-ATC comparisons, ATC=AVC+AFC (20) | 20 | 10–16 | 0–8 |
| Interpretation (Part 5) — AFC always falls (fixed/growing); U-shape (diminishing returns/MC); MC-cuts-at-minimum explained in words (12) | 12 | 6–10 | 0–5 |
| Analysis (Part 6) — AFC pull-down explanation; doubled-FC prediction; city bus application (10) | 10 | 5–8 | 0–4 |
| AI-critique (Part 7) — names at least one specific thing checked or caught in the AI's cost-table output (8) | 8 | 4–6 | 0–3 |
~ Prof. Kessler's edition · Fall 2026 · built with thecoursemaker.com