Type I errors, also known as false positives, occur when you see things that are not there. Type II errors, or false negatives, occur when you don’t see things that are there (see Figure below).
I always get confused about Type I and II errors. Can you show me something to help me remember the difference?
Effect Size FAQs 
This is a fantastic example of Type I and II errors! I’m a physician who teaches statistics to my medical students and residents. I’d like to use this image in a presentation: do you allow use for non-commercial purposes (with attribution of course)?
Feel free!
Thanks 😀