Type I and Type II Errors

Errors in hypothesis
-Divided into 2 types of errors:
  -Type I error (α).
  -Type II error (β).

Type I error (α)
-The probability of the null hypothesis being rejected when it is true.
-It is incorrect rejection of the null hypothesis (Ho).

 Type II error (β)
-The probability of the null hypothesis to fail to be rejected when it is false.
-It is the incorrect acceptance of the null hypothesis (Ho).












Should the null hypothesis (Ho) is rejected when is it false, the decision will be correct (1-β).


By: Pengiran Hazieq Izzat

References

Websites
http://www.statisticshowto.com/type-i-and-type-ii-errors-definition-examples/
https://www.ma.utexas.edu/users/mks/statmistakes/errortypes.html
http://support.minitab.com/en-us/minitab/17/topic-library/basic-statistics-and-graphs/hypothesis-tests/basics/type-i-and-type-ii-error/