Alpha risk, also known as Type I error, refers to the probability of incorrectly rejecting a true null hypothesis in hypothesis testing. This risk occurs when a statistical test indicates that an effect or difference exists when, in fact, it does not. Understanding alpha risk is crucial for determining the reliability of research findings and helps in setting the threshold for significance levels in statistical tests.
congrats on reading the definition of Alpha Risk. now let's actually learn it.