IB Maths AI 2.4 Definitions
This page contains our IB Maths AI definitions for 2.4. By learning each one of these definitions, you will fully cover the content for IB Maths AI 'Modelling applications'.
domain
The set of input values for which a model is intended to be used, chosen using the context rather than only the algebraic definition.
extrapolation
Using a regression line to predict a value that lies outside the range of the observed data, which is generally less reliable.
interpolation
Estimating a value at an unknown point using known values at nearby points; in nearest neighbour interpolation, the estimate is taken from the closest site.
parameters
Fixed constants in a chosen model that determine its specific form and are found from data, known points, or conditions.
reasonableness
The extent to which a model’s outputs and predictions make sense in context, including whether values are realistic over the intended domain.
variables
Quantities that can change in a situation and are represented by symbols so relationships can be modelled mathematically.
Next Up
You have completed the topic 2 definitions for IB Maths AI - continue with related resources below or explore the full IB Maths AI course from the IBO.
Other topic 2 resources