inferential statistics

What is significance?

How likely results are due to chance

How is significance determined?

Through p-value

What does a p-value of p ≤ 0.01 mean?

1% results are due to chance

99% results are due to change in IV / correlation

What does a p-value of p ≤ 0.1 mean?

10% risk results are due to chance

90% risk results are due to change in IV / correlation

What does a p-valve of p ≤ 0.05 mean?

5% risk results are due to chance

95% risk results are due to change in IV / correlation

What p-value do psychologists use?

p ≤ 0.05

What is a type 1 error? (+/-)

A false positive

What happens to the hypothesis in a type 1 error?

• Falsely rejecting a null hypothesis

• Falsely accepting alternative hypothesis

What increases the likelihood of a type 1 error?

P-value is too high

What is a type 2 error?

A false negative

What happens to the hypotheses in a type 2 error?

• Falsely accepting null hypothesis

• Falsely rejecting alternative hypothesis

What increases the likelihood of a type 2 error?

It p-value is too low