Matching
A) decision error
B) Type I error
C) Type II error
D) conventional levels of
1) rejecting the null hypothesis when in fact it is true
2) the levels of significance widely used in the
behavioral and social sciences
3) incorrect conclusion in hypothesis testing in relation
to the real (but unknown) situation, such as deciding
the null hypothesis is false when it is really true
4) failing to get a statistically significant result
significance when in fact the research hypothesis is true
A-3; B-1; C-4; D-2
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