inferential testing

Question 1

error

Answer 1

when a psychologist incorrectly concludes there is a significant difference or relationship between the IV and DV when there isn’t one (or vice versa)

Question 2

type 1 error

Answer 2

when a researcher wrongly concludes there is a significant difference or relationship between the iv and dv and therefore incorrectly concludes the results are significant when they are not

Question 3

type 1 when

Answer 3

the researcher has chosen a p value which is too large, e.g. p=0.10 rather than 0.01

this means the researcher has not been strict enough when choosing their p value

Question 4

type 1 means

Answer 4

researcher will wrongly accept the experimental hypothesis when they should have accepted the null hypothesis

a false positive

Question 5

type 2

Answer 5

when a researcher wrongly concludes that there is not a significant difference or relationship between the iv and dv and therefore incorrectly concludes the results are not significant when they are

Question 6

type 2 when

Answer 6

researcher has chosen a p value which is too small, such as p=0.01 rather than 0.1

this means the researcher has been too strict when choosing their p value

Question 7

type 2 means

Answer 7

researcher will wrongly accept the null hypothesis when they should have accepted the experimental hypothesis

false negative

Question 8

why p=0.05

Answer 8

strikes a good balance between the risk of making a type 1 or 2 error