In inferential statistics, type II or beta error is:
A) a common misinterpretation of the statistic beta.
B) rejecting null hypotheses that are actually true.
C) failing to reject null hypotheses that are actually false.
D) increased by using alpha levels of .20 or greater.
Correct Answer:
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A)the distribution of scores
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A)descriptive statistics.
B)inferential statistics.
C)measures
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