AI engineering glossary · Statistics inference
What is z-test?
Z-test: A hypothesis test that compares a sample average or proportion with a claimed value using the normal distribution. It is appropriate when the population spread is known or the sample is large.
Z-test: an example
Testing whether a site's conversion rate differs from the historic 3 percent using 50,000 visitors is normally done with a z-test for a proportion.
Related terms
More Statistics inference terms
- A/B test
- Adjusted R-squared
- Alternative hypothesis
- ANOVA
- Average treatment effect
- Bayesian inference
- Benjamini-Hochberg procedure
- Bias of an estimator
Where you learn it
Z-test is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.