You're reviewing an experiment on a product change and the team is discussing whether a null result is actually informative. You need to explain how power affects what you can conclude from the test.
What is statistical power, and why does it matter for product experiments?
Understanding of statistical power as 1 minus Type II errorConnection between power, sample size, and minimum detectable effectAbility to explain why null results can be misleading in underpowered A/B tests