Power Analysis
Definition
A power analysis plans how well a statistical test can detect effects.
Planning or evaluating the probability of detecting an effect of a certain size with a statistical test.
Simply explained
Before an experiment, it is estimated whether it would detect a relevant difference with sufficient probability.
Why it matters in practice
The term helps to select, develop, evaluate AI systems in a well-founded manner and realistically assess their technical risks.
Example from business
Before an A/B test, effect size, significance level, power, and sample size are determined.
Limits and pitfalls
- Using power retrospectively as proof or assuming unrealistic effect sizes.
Origin & history
Power analysis is a standard part of statistical experimental design.
Use in mid-sized companies
- Possible application: Before an A/B test, effect size, significance level, power, and sample size are determined.
Frequently asked questions
What does power analysis mean?
Planning or evaluating the probability of detecting an effect of a certain size with a statistical test. What mistakes should be avoided? Using power retrospectively as proof or assuming unrealistic effect sizes.
Sources
Source checked on 10.10.2026. Editorial application examples are hypothetical; no evidence of real customer results.
Editorially reviewed on: