# Type II Hypothesis Testing Error

(Redirected from Type II Error)

A Type II Hypothesis Testing Error is a hypothesis non-rejection decision that is a false negative prediction.

**Context:**- In Decision Theory, the Null Hypothesis is not rejected when it is False.

**Example(s):**- ...

**Counter-Example(s):****See:**Null Hypothesis Testing, Family-Wise Error Rate.

## References

### 2015

- (Wikipedia, 2015) ⇒ http://en.wikipedia.org/wiki/type_I_and_type_II_errors Retrieved:2015-1-20.
- In statistical hypothesis testing,
**type I and type II errors**are incorrect rejection of a true null hypothesis or failure to reject a false null hypothesis, respectively. More simply stated, a type I error is detecting an effect that is not present, while a type II error is failing to detect an effect that is present. The terms "type I error" and "type II error" are often used interchangeably with the general notion of false positives and false negatives in binary classification, such as medical testing, but narrowly speaking refer specifically to statistical hypothesis testing in the Neyman–Pearson framework, as discussed in this article.

- In statistical hypothesis testing,

### 2009

- http://www.introductorystatistics.com/escout/main/Glossary.htm
- type II (hypothesis test) error The error of incorrectly accepting a null hypothesis when it is false.

- (Wikipedia, 2009) ⇒ http://en.wikipedia.org/wiki/Type_I_and_type_II_errors
- Type II (β): fail to reject the Null Hypothesis when the null hypothesis is false