Inferential Testing

Question 1

What does p= 0.05 mean?

Answer 1

Significant is 5% so we are 95% sure the results aren’t due to chance

Question 2

Why do we use 0.01 level?

Answer 2

When we have to be 99% sure, small margin of error for when there is cost to human life

Question 3

What are the conditions of stat tests?

Answer 3

1) difference of correlation?
2) what design is used?
3) what level of data is used?

Question 4

What is N?

Answer 4

Number of participants

Question 5

Type 1 error

Answer 5

“False positive”
Null hypothesis is incorrectly rejected and alternative is accepted
Likelyhood of this is 5%

Question 6

Type 11 error

Answer 6

“False negative”
Null hypothesis is incorrectly accepted and alternative rejected
0.01 probability of this

Question 7

Why do we use 5% level of significance?

Answer 7

Allows a larger margin of error. It is more realistic striking a balance between type 1 and type 2 error

Question 8

Parametric tests

Answer 8

Powerful
Detect significant
Used with interval data
Eg- related and unrelated T test, pearsons