IB Math modelling: the hidden part that earns marks
You can feel it the moment a modelling question starts: the numbers look friendly, your calculator is ready, and yet the problem still feels slippery. In IB Math, that discomfort is the point. Modelling questions are designed to pull you away from tidy, exact answers and into judgement.
Many students respond by gripping formulas tighter. It’s understandable. Formulas feel like certainty. But in IB Math modelling, formulas are the easy part. The marks often live in something quieter: the assumptions you choose, the reality you simplify, and the honesty you show about where your model stops working.

A quick checklist before you touch any formula
Use this mini-routine whenever IB Math throws you an under-specified modelling prompt:
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Define variables clearly (and include units).
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State 2--4 assumptions that make the model workable.
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Choose a model type (linear, exponential, normal, regression, etc.) and justify why it fits.
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Identify the scope of validity (where it should work, and where it probably won’t).
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Interpret the result in context, then critique your model’s weaknesses.
If you want a structured process for this, start with How to Approach Math AI SL Modeling Questions and then drill the skills using the .

