How to Remember the Definition of Type I and Type II errors

 There are some clever mnemonics

Type 1 error: Rejecting H0 when it is true

Type II Error: Not rejecting H0 when it is false

source1

Here are the mnemonics to remember:

1. Remember the story where the boy cried wolf 

H0 : There is no wolf

H1: There is a wolf

data sample: Boy's cry

Type I Error: The first error the villagers made (when they believed him) was a type 1 error.

Type II Error: The second error the villagers made (when they didn't believe him) was a type 2 error


2. This has some truth in it. But can be ageism also

Young scientists commit Type-I because they want to find effects and jump the gun while old scientist commit Type-II because they refuse to change their beliefs.


3. 

A Type I error is a false POSITIVE; and P has a single vertical line.

A Type II error is a false NEGATIVE; and N has two vertical lines.


4. 

Type I errors are of primary concern

Type II errors are of secondary concern


5. Remember RAAR, Reject when you should Accept ( type I) Accept when you should reject ( type II)


6. type I is an optimistic error, type II is a pessimistic error, OP , 1, 2


7. RAT vs !RAF

RAT: Reject Null Hypothesis when it is actually true

RAF: Do not Reject Null Hypothesis when it is actually false

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