AI engineering glossary · Statistics inference
What is p-value?
P-value: The probability, assuming the null hypothesis is true, of getting a result at least as extreme as the one observed. It is not the chance that the null hypothesis is true, and it says nothing about effect size.
P-value: an example
A p-value of 0.03 means that if the new page had no real effect, results this large would appear in about 3 percent of experiments.
Related terms
More Statistics inference terms
- Paired t-test
- Peeking problem
- Permutation test
- Point estimate
- Population parameter
- Post-hoc test
- Posterior distribution
- Potential outcomes framework
Where you learn it
P-value is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.