Defines the concepts of sample and population
Defines the population (all the objects studied) and the sample (the part of the population on which the study is based) and their difference.
Can AI do this?
People still lead Few or none of the tested AI models showed they master this. 0 of 4 models in the current benchmark master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 91% | Not shown |
| gemini-3.5-flash-lite | Low cost | 88% | Not shown |
| gpt-6-luna | Low cost | 79% | Not shown |
| claude-haiku-5-5 | Low cost | 91% | Not shown |
Mastered means a probability of at least 90% that the model has this knobit, estimated from its graded answers. “Not shown” means the answers do not settle it either way. How the models are tested.
What it looks like in practice
Expected result: Definitions of the two concepts
How it is assessed: Tells the sample from the population in a given description of a study
Also known as: Defineerib valimi ja üldkogumi mõiste
Related knobits
Needed for
All knobits of Data quality.
Source: Copy of k12 knobit K-4076 of the Estonian national curriculum register matemaatika (product k12-curriculum, skills/knobits/k12/matemaatika.yaml), GRÕK lisa 5, kitsas matemaatika IV kursus, õpitulemus 4; fingerprint translated from Estonian