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Unknown General 96882d8e

True regarding significance of testing:

A
Type 1 error is to reject alternate hypothesis when it should be accepted
B
Type 2 error is to accept alternate hypothesis when it should be rejected
C
Probability associated with type 1 error is significant
D
The significant level is always set to 5%
High-Yield Explanation
(Refer: Oxford Handbook of Medical Statistics, Pg.248) Errors & P value Null hypothesis – H0 – an assumption about the status of a phenomenon Statistical errors (Null hypothesis)

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