Interpolation versus extrapolation
I can state the difference between interpolation and extrapolation and the limitations of each.
Interpolation versus extrapolation
I can state the difference between interpolation and extrapolation and the limitations of each.
Lesson details
Key learning points
- Interpolation can be used to estimate a value within the data set.
- Extrapolation can be used to estimate a value outside of the data set.
- Extrapolation may not be valid as this is outside observed set of data values.
- Interpolation may not be valid due to the limitations of sampling.
Keywords
Interpolation - Interpolation is the process of estimating unknown values that are inside the range of existing data.
Extrapolations - Extrapolation is the process of estimating unknown values that are outside the range of existing data.
Common misconception
Interpolation and extrapolation always produce accurate predictions.
Extrapolation may not be valid as this is outside the observed set of data values (e.g. a linear trend might not continue indefinitely). Interpolation may not be valid due to the limitations of the data set.
Licence
This content is © Oak National Academy Limited (2024), licensed on Open Government Licence version 3.0 except where otherwise stated. See Oak's terms & conditions (Collection 2).
Lesson video
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