Type 1 + 2 Errors
- Created by: 0045253
- Created on: 02-06-22 13:10
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- Type 1 + 2 Errors
- Type 1
- researcher concludes that the results are significant, when the results are really due to chance factors.
- Rejecting the null hypothesis when it should have been accepted
- Known as a false positive
- The
chances of making a Type 1 error are always the same as your level of
significance
- As significance level increases the chance of Type 1 error decreases
- Set the P-Value too leniently
- Type 2
- When the researcher concludes the results are not significant, when the results are significant.
- A real difference/correlation/ association has been overlooked.
- Accepting the null hypothesis when it should have been rejected
- Known as a false negative
- It is extremely difficult to determine the likelihood of making a Type 2 error.
- If the P-Value is too stringent
- Type 1
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