Additionally, as with every statistical test, there is always the chance of having type I error and type II error in the McDonald Kreitman test.
22.
If the system is designed to rarely match suspects then the probability of type II errors can be called the " false alarm rate ".
23.
Hypothesis testing involves considering the likelihood of Type I and type II errors, which relate to whether the data supports accepting or rejecting the hypothesis.
24.
The above pattern recognition example contained 7 & minus; 4 = 3 type I errors and 9 & minus; 4 = 5 type II errors.
25.
:: As I understand it, power is 1-beta, where beta is the risk of a Type II error, while alpha is the risk of a Type I error.
26.
A false negative error is a type II error occurring in test steps where a single condition is checked for and the result can either be positive or negative.
27.
At that confidence, there is a significant chance of accepting an outlier when you shouldn't-a Type II error . talk ) 10 : 18, 20 March 2010 ( UTC)
28.
While one can not " prove " a null hypothesis, one can test how close it is to being true with a power test, which tests for type II errors.
29.
Although it is sometimes claimed that least squares ( or classical statistical methods in general ) are robust, they are only robust in the sense that the type II error rate.
30.
While a miscarriage of justice is a Type I error for falsely identifying culpability, an error of impunity would be a Type II error of failing to find a culpable person guilty.
