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15th February 2024
Errors
| The null hypothesis is false.
(i.e. there is a difference between both groups) |
The null hypothesis is true.
(i.e. there is no difference between both groups) |
|
| The null hypothesis is rejected
(p-value < 0.05) |
True positive | False positive
(Type 1 error/alpha error) |
| The null hypothesis is accepted
(p-value > 0.05) |
False-negative
(Type 2 error/beta error) |
True negative |
Setting a lower significance level (a lower p-value cut-off to accept as statistically significant) reduces the risk of type 1 error but increases the risk of type 2 error.
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