Type 1 And 2 Error

Question 1

Type 1 error

Answer 1

When researchers incorrectly reject the null hypothesis and say there is a real difference between two experimental groups when there isn’t one

Question 2

How does a researcher minimise type 1 errors

Answer 2

By setting their significance levels very low

Question 3

What can a very low significance level increase the chance of

Answer 3

Type 2 errors

Question 4

If a researcher has a significance level of 15%,what probability do they have of making a type 1 error

Answer 4

15% probability of making a type 1 error

Question 5

Type 2 error

Answer 5

When researchers accept the null hypothesis and conclude their results happens by chance when there actually is a difference between two experimental groups

Question 6

To balance the risk of a type 1 and type 2 error we usually set the significance level at ?

Answer 6

5%

Question 7

explain what it would it would mean if the results of a study were significant at the 0.01 level

Answer 7

there is only a 1% possibility that the difference between the dv e.g stress levels is due to chance

Question 8

how to minimise the chance of type 2 errors

Answer 8

-use the 5% level
-increase sample size