Epidemiology
A Type I error occurs when a null hypothesis is incorrectly rejected when it is actually true. This kind of error is also known as a 'false positive', meaning that a test suggests an effect or difference exists when, in reality, there is none. Understanding Type I errors is essential for evaluating the reliability of inferential statistics and hypothesis testing, as it reflects the risk of making incorrect conclusions based on sample data.
congrats on reading the definition of Type I Error. now let's actually learn it.