What does statistical power represent in study design?

• A. Power is the probability of detecting a true effect; higher power reduces risk of false negatives.
• B. Power is the chance that a study will produce a statistically significant result by accident.
• C. Power is the overall sample size required to achieve a given p-value.
• D. Power is the speed at which data can be collected.

Answer: (A)