0.22. Type 1 And Type 2 Errors

Question 1

Type 1 error

Answer 1

• Null rejected when it’s true
• Researcher has made a false positive
• Error of the optimist
• Significance level too lenient

Question 2

Type 2 error

Answer 2

• The null accepted when false, should have accepted the hypothesis
• False negative
• Error of the pessimistic
• Significance level too strict