IA idea · Sport
Where should I aim on a dartboard?
Research question
Given my own measured throwing accuracy, which aiming point on the dartboard maximises my expected score, and at what accuracy does aiming at treble 20 stop being the best strategy?
Adapt it: change the place, the data or the comparison until the question is yours.
Why it makes a good exploration
Aiming at treble 20 is only best if you are accurate. Measuring your own scatter and computing expected scores over the board is a beautiful mix of probability, geometry and simulation.
The mathematics you'll need
- Two-dimensional normal model of throws (explain)
- Estimating standard deviation from your throws
- Expected value over regions of the board
- Simulation to find the best aiming point
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
Throw 100+ darts aiming at the centre, measure landing coordinates, and use the board's standard dimensions.
- 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
- Measure your scatter and fit a model.
- Encode the board's regions.
- Simulate expected score at a grid of aiming points.
- Find the optimum at your accuracy and others.
- Reflect on unequal horizontal and vertical errors.
Pitfalls that cost marks
- Assuming circular scatter without checking.
- Too few throws.
- Incorrect board dimensions.
Showing personal engagement
- Use your own throws.
- Compare with a friend of different skill.
- Produce a “heat map” advice sheet.
See Criterion C: personal engagement for what examiners look for.
Taking it further
Allow different horizontal and vertical standard deviations and see how the optimum moves.
Turn this idea into your IA
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