True | |
Decision About Retain | CORRECT |
Decision About Reject | Type I Error (α) |
Reject when its true
α error
Error of first kind
Error of excessive credulity
False positive
Poor specificity
If a test shows that a person has kidney stone when in reality he/she does not
Probability of obtaining an effect at least as extreme as the one in your sample data, assuming the truth of the null hypothesis.
True | False | |
Decision About Retain | CORRECT | Type II Error |
Decision About Reject | Type I Error (α) | CORRECT |
Accept 𝐻_0 when its false
β error
Error of second kind
Error of excessive skepticism
False negative
Low sensitivity
If a test shows that a person is not having kidney stone when in reality he/she does have a kidney stone.
Image of Type I and Type II for Hypothesis Testing
-Manishika