Errors In hypothesis testing Flashcards
1
Q
Definition of type II error
A
Probability of accepting null hypothesis when it is actually false (false negative)
2
Q
Features of a type I error
A
- Probability determined in advance
* Difference occurred by chance
3
Q
What type II error rate depends on
A
- Study size
- Measurement variability
- Implications of error
4
Q
Definition of power of a study
A
Probability of correctly rejecting the null hypothesis (detecting a true change)
5
Q
Equations for power
A
- 100(%) - type II error rate
* (1-type II error probability) x 100
6
Q
How to improve power?
A
- Increase sample size
* Decrease variability
7
Q
Generally accepted power level
A
80%
8
Q
Definition of a type I error
A
Probability of rejecting the null hypothesis when it is actually true (false positive)
