AI engineering glossary · Statistics inference
What is consistency?
Consistency: A property of an estimator: as the sample grows without limit, its value converges to the true quantity being estimated. It guarantees that more data eventually brings the estimate arbitrarily close to the truth.
Consistency: an example
The sample proportion of clicks from 100 users may be off by 5 points, but from 10 million users it lies extremely close to the true click rate.
Related terms
More Statistics inference terms
- Contingency table
- Control group
- Counterfactual
- Cramér-Rao bound
- Credible interval
- Critical value
- Degrees of freedom
- Difference-in-differences
Where you learn it
Consistency is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.