Type 1/2 Errors

Question 1

What is a type 1 error?

Answer 1

• R used a lenient P value
• R thinks results r significant when actually due to chance
• wrongly accept null alternative hypothesis
  -wrongly reject null

Question 2

What is a type 2 error?

Answer 2

• R used stringent P val
• results r not significant (due to chance) when they could be sig
  -wrongly accept null
  -wrongly reject alternative hypothesis

Question 3

What is the diff b/w Type 1 and 2 error

Answer 3

type 1 error the null hypothesis is rejected when it is true whereas in type 2 null hypothesis is accepted when it is false

Question 4

Why do psychs use 5% sig level?

Answer 4

• strikes balance b/w the risk of making type 1 and 2 error
• it’s a conventional significance level

Question 5

How would you check for a type 1 error?

Answer 5

• compare calc val to critical val from a more STRINGENT P VAL
• if results r now not sig then type 1 error is made

Question 6

How to check for type 2 error?

Answer 6

• compare calc val to critical val to more LENIENT P VAL
• if results are now sig type 2 error is made