Which statement below is true?
A) If an effect reaches statistical significance it is necessarily of practical significance.
B) The .05 and .01 levels of significance are the only levels worth using.
C) If a statistical test fails to show a significant difference, then we have shown that the levels of the independent variable are the same.
D) None of the choices are true.
Question 2
An inferential statistical test that assumes normal underlying distributions is called a
A) nonparametric test.
B) parametric test.
C) distribution free test.
D) chi square test.
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