Type 1 and Type 2 Errors

Question 1

What is Type 1 Error nicknamed?

Answer 1

A false positive.

Question 2

What does a Type 1 Error mean?

Answer 2

You think you have a significant finding but actually you don’t.

Question 3

Do you accept or reject a null hypothesis in a Type 1 Error? What should you have done?

Answer 3

You reject a null hypothesis when you should have accepted it.

Question 4

When you reject a null hypothesis, do you believe you have significant findings or not?

Answer 4

You believe you have significant findings.

Question 5

What is a Type 2 Error nicknamed?

Answer 5

A false negative.

Question 6

What does a Type 2 Error mean?

Answer 6

You don’t think you have significance but you actually do.

Question 7

Do you accept or reject a null hypothesis in a Type 2 Error? What should you have done?

Answer 7

You accept a null hypothesis when you should have rejected it.

Question 8

When you accept a null hypothesis, do you believe you have significant findings or not?

Answer 8

You believe you do not have significant findings.

Question 9

What can you do to avoid or reduce chances of making a Type 1 or Type 2 Error?

Answer 9

Make the significance levels smaller will reduce the chances of a Type 1 Error.
But will increase the chances of making a Type 2 Error.