The value of an inferential statistic calculated to compare conditions in an experiment represents
A) the chance that the null hypothesis is true.
B) the chance that the null hypothesis is false.
C) the effect of the independent variable with sampling error removed.
D) the amount of sampling error.
Correct Answer:
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Q5: In inferential statistics, we look for evidence
Q8: The middle score in a distribution, such
Q9: Extreme high or low scores in a
Q11: A(n) _ hypothesis predicts no effect, whereas
Q12: A(n) _ hypothesis predicts a directional effect,
Q13: Which of the following can explain the
Q16: If we reject the null hypothesis when
Q17: A distribution is (an)
A) descriptive statistic.
B) inferential
Q19: The most common score in a distribution
Q45: Two-tailed hypotheses are typically made only when
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