Discussion

Match the column I and II and select code :

Column I	Column II
(1) Alpha (\(\alpha\))	(i) The magnitude of type II error
(2) Type I error	(ii) Acceptance of the null hypothesis when null hypothesis is false
(3) Type II error	(iii) Level of significance
(4) Beta (\(\beta\))	(iv) Rejection of the null hypothesis when null hypothesis is true

Answer: A

The correct match is 1-iii, 2-iv, 3-ii, 4-i.

Alpha is the level of significance, the probability of a type I error that the researcher accepts, often 0.05 (1-iii).
A type I error is rejecting the null hypothesis when it is true (2-iv).
A type II error is accepting (failing to reject) the null hypothesis when it is false (3-ii).
Beta is the probability, the magnitude, of a type II error; 1 - beta is the power of the test (4-i).

The other codes give alpha to type II error or swap the definitions of the two errors.

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