I always get confused about Type I and II errors. Can you show me something to help me remember the difference?

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).

This entry was posted on Monday, May 31st, 2010 at 12:52 am and is filed under Type I error, Type II error. You can follow any responses to this entry through the RSS 2.0 feed.
Both comments and pings are currently closed.

3 Responses to I always get confused about Type I and II errors. Can you show me something to help me remember the difference?

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)?

“The primary product of a research inquiry is one or more measures of effect size, not p values.”
~ Jacob Cohen

How to manuals

“Statistical significance is the least interesting thing about the results. You should describe the results in terms of measures of magnitude – not just, does a treatment affect people, but how much does it affect them.”
~ Gene Glass

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 😀