Stat Tests

Question 1

What is a type 1 error?

Answer 1

Null is rejected and alternative is accepted when null is ‘true’

Optimistic error or false positive as a

!significant difference or correlation is found when on does not exist!

Question 2

What is a type 2 error?

Answer 2

Null is accepted but alternative is true.
False negative

Stating no correlation or difference but there is one

Question 3

What makes a type 1 error more likely?

Answer 3

If significance is too lenient (too high)

Question 4

What makes a type 2 error more likely?

Answer 4

Significance is too stringent (too low)