IA idea · Finance & economics
What price maximises profit at our school bake sale?
Research question
Using a demand curve estimated from a survey of students, what price maximises profit for [a product], and how does the optimum change if costs rise?
Adapt it: change the place, the data or the comparison until the question is yours.
Why it makes a good exploration
A real sale gives you real decisions. Estimating demand from survey data, building cost and revenue functions, and optimising with calculus is a textbook topic done with your own data — and you can test it at the next sale.
The mathematics you'll need
- Linear or exponential demand models from survey data
- Revenue R = pq and profit P = R − C
- Differentiation to maximise profit
- Price elasticity (optional)
Course labels show where a technique sits; using maths from outside your course is fine if you explain it clearly and say it is new to you.
Where the data comes from
Survey 60+ students on the most they would pay; record actual costs of ingredients and packaging.
- Desmos graphing calculator — Free graphing and regression (y₁ ~ ax₁ + b) — fit models to your data and show residuals.
Cite every source in a footnote where you use it and in your bibliography. Check the licence of any dataset you download.
A possible outline
- Design the survey carefully (avoid leading questions).
- Fit a demand model.
- Build revenue and profit functions and maximise.
- Test the price at a real sale if possible.
- Reflect on survey honesty and sell-outs.
Pitfalls that cost marks
- Leading survey questions.
- Ignoring fixed costs.
- Treating stated willingness to pay as real behaviour.
Showing personal engagement
- Run the sale and compare predictions with sales.
- Compare two products.
- Reflect on how you would change the survey.
See Criterion C: personal engagement for what examiners look for.
Taking it further
Model demand with two variables (price and portion size) and discuss the trade-off.
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