Type 1 and 2 errors

Question 1

What is a type 1 error?

Answer 1

When the researcher has used a lenient P value. The researcher thinks the results are significant when they are actually due to chance/error. They wrongly accept the alternative and wrongly reject the null.

Question 2

What is a type 2 error?

Answer 2

When the researcher uses a stringent P-value. They think that the results are not significant when they could be significant. They wrongly accept the null hypothesis and wrongly reject the alternative.

Question 3

What is the difference between type 1
and type 2 errors?

Answer 3

Type 1 error wrongly rejects the null hypothesis
Type 2 error wrongly accepts the null hypothesis

Question 4

What’s the significance level?

Answer 4

5%

Question 5

How to check for a type one error?

Answer 5

Compare the calculated value to the critical value at a more STRINGENT p-value. If results are not significant then a type 1 error has occurred.

Question 6

How to check for a type 2 error?

Answer 6

Compare the calculated value to the critical value using a more LENIENT p-value. If the results are significant then a type 2 error has occurred.