Type 1 And Type 2 Errors Flashcards
What is meant by a type 1 error?
When the researcher has used a lenient p value. The researcher thinks the results are significant when they’re actually due to chance/error. So they wrongly accept experimental hypothesis and wrongly reject the null.
What is meant by a type 2 error?
This is when the researcher has used a stringent p value. They think that their results are not significant when they could be significant. So they wrongly accept the null hypothesis and wrongly reject the experimental
Type 1 errors use a what p value?
Lenient
Type 2 error use a what p value?
Stringent
Type 1 - wrongly accepts…. Wrongly rejects the….
Experimental
Null
Type 2 - wrongly accepts the ….. wrongly rejects the…
Null
Experimental
What’s the difference between type 1 and this 2 errors?
Type 1 the null hypothesis is rejects when it’s TRUE whereas in type 2 the null hypothesis is accepted when it’s FLASE.
If the p vale is lenient its more likely a type…. Error occurred
1
The the p value is stringent it’s more likely a type….error occurred
2
If the p value is more that 0.05% (5%) is this too lenient or stringent?
Lenient
If the p value is more that 0.5% (5%) for example 0.10 (10%) what does this mean?
The probability something is due to chance or error is less than 10%.
90% confident (results were IV effecting the DV)
If the p value is less that 0.05% (5%) is this too lenient or too stringent?
Stringent
If the p value is less that 0.05% (5%) for example p value of 0.01 (1%) what does this mean?
The probability that something is due to chance/error is less that 1%.
How do you check for a type 1 error?
Compare the calculated value to a critical value of a more stringent p value. If the results are STILL significant then the research did NOT make a type 1 error. If the results are now not significant then there is a chance of a type 1 error.
When checking for a type 1 error if results are still significant is there a type 1 error?
No
