Type One Errors
We wrongly accept the experimental hypothesis when the null hypothesis is true
This is an optimistic error
The researcher has concluded that there is a difference between the variables when there isn't
These are more likely to occur at lenient significant levels e.g. p<0.10
Type Two Errors
We wrongly accept the null hypothesis when the experimental hypothesis is true
This is a pessimistic error
Concluded there is not a difference between variables when there is
More likely at stricter levels of significance e.g. p<0.01
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