Explains the concepts of frequency and relative frequency

N-1801 · Knowledge knobit · Foundation knowledge, used across activities · Competence: Data integration and interoperability · Also needed in Reference and master data

Explains what frequency and relative frequency show and how relative frequency is expressed as a fraction or a percentage.

Can AI do this?

AI does this well Most of the tested AI models master this. 4 of 4 models in the current benchmark master it.

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: An explanation of the concepts, with an example

How it is assessed: Explains frequency as the number of occurrences of a value and relative frequency as its share of the whole data set, and relates relative frequency to a percentage

Also known as: Selgitab sageduse ja suhtelise sageduse mõistet

Related knobits

Needed for

• N-151 Explains data profiling measures
• R-354 Explains measuring false merges and false splits

All knobits of Data integration and interoperability.

Source: Copy of k12 knobit K-3034 of the Estonian national curriculum register matemaatika (product k12-curriculum, skills/knobits/k12/matemaatika.yaml), Põhikooli RÕK lisa 5, III kooliaste, Andmed, õpitulemus 1 (LO-3013); fingerprint translated from Estonian