Question: what does type 1 error mean in statistics?
Answer: A type 1 error is also known as a false positive and occurs when a researcher incorrectly rejects a true null hypothesis. This means that your report that your findings are significant when in fact they have occurred by chance. ... For example, a p-value of 0.01 would mean there is a 1% chance of committing a Type I error.