type I and type II errors

In the realm of statistics and hypothesis testing, the goal is often to make informed decisions based on data. We want to determine if an effect exists, whether a treatment works, or whether a relationship is significant. However, we rarely have perfect information, and our analyses are subject to the inherent uncertainties of the real … Read more