Probability

• Type 2 error is a false negative whereas a Type 1 error is a false positive
• Type 2 error would suggest that the results are 99% down to the study and 1% down to chance
• Type 2 error would suggest to reject the null hypothesis
• Type 1 error suggests that the results are 99% to chance and 1% down to chance