The t distribution assumes normality only when
A) there are infinite degrees of freedom
B) there is a large degree of bias
C) the null hypothesis has been rejected
D) none of these, since the t distribution can never be normal
Correct Answer:
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Q45: Power can be defined as
A) One plus
Q46: The alpha level sets the probability for
Q47: The power of a statistical test, such
Q48: Every degree of freedom value specifies
A) a
Q49: The higher the likelihood of rejecting null
Q51: The sign of the t ratio only
Q52: According to the text, the value beyond
Q53: To do a one-tail t test, as
Q54: The effect size is determined by how
Q55: With infinite sample sizes, t ratios of
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