AI engineering glossary · Statistics inference
What is one-tailed and two-tailed tests?
One-tailed and two-tailed tests: Two ways of setting the alternative hypothesis. A two-tailed test looks for a difference in either direction; a one-tailed test looks only in a pre-specified direction and puts all rejection area on that side.
One-tailed and two-tailed tests: an example
Testing whether a new model is different from the old one is two-tailed; testing only whether it is faster is one-tailed.
Related terms
More Statistics inference terms
- P-hacking
- P-value
- Paired t-test
- Peeking problem
- Permutation test
- Point estimate
- Population parameter
- Post-hoc test
Where you learn it
One-tailed and two-tailed tests is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.