Probability & Signifcance And Errors

Question 1

What’s a type 1 error

Answer 1

False positive
Where we reject the null hypothesis by mistake

Question 2

What’s a type two error

Answer 2

False negative
Where we accept the null hypothesis in error when there’s actually a real difference

Question 3

p<0.01% meaning

Answer 3

1% probability results due to chance e.g. when findings are critical e.g. when testing drug effects to make sure there’s a real difference

Question 4

Why is 5% level of significance is used in psychology research

Answer 4

As it strikes a balance between the risk of making the Type I and II errors for similar

Question 5

How to reduce chance of a type 2 error

Answer 5

Use the 5% level
Increase the sample size