Alpha error means effect seen which is not actually there (False positives are alpha errors)
Type 1 error is rejecting the null hypothesis rejected which is true(null hypothesis is true because effect is not there)…
So alpha error and type 1 error are same things …
Beta error is effect not seen but effect is there (False negatives are beta errors)
Type 2 error is accepting null hypothesis which is false(Null hypothesis is false because effect is there still null hypothesis has been proposed)
Pls don’t discuss questions of minimock during its live… It reduces percentile of those who did this question wrong