| type I error |
An error of statistical inference when the null hypothesis is rejected when it is true. This is an error of "seeing too much in the data."
출처: psy.st-andrews.ac.uk/resources/glossary.shtml
|
|---|---|
| type II error |
An error of statistical inference when the null hypothesis is retained when it is false. This is an error of "not seeing enough in the data."
출처: psy.st-andrews.ac.uk/resources/glossary.shtml
|
| type I error |
(alpha error) A rejection of a hypothesis when it is true. An example of Type 1 Error is finding a substance present when it is not.
출처: www.atlab.com/LIMS/glossaryp-t.html
|
| type II error |
(beta error) An acceptance of a hypothesis when it is false. An example of Type II Error is not finding a substance present when it is present.
출처: www.atlab.com/LIMS/glossaryp-t.html
|
| type |
A coin's basic distinguishing design.
출처: www.centercoin.com/coin_information/glossary.htm
|