Researchers use null hypothesis significance testing to
A) understand why null findings were obtained.
B) test whether confounding has occurred.
C) test whether condition means differ more than they would if the difference were due to error variance.
D) separate the effects of the independent from the effects of participant variables.
Correct Answer:
Verified
Q2: Power refers to the degree to which
Q3: Type II errors are more likely when
A)a
Q4: Why is it possible for condition means
Q5: A power analysis is often used to
Q6: Failing to reject the null hypothesis when
Q8: A Type I error can occur only
Q9: A Type I error occurs when a
Q10: The probability that a researcher is willing
Q11: An effect size of .40 indicates that
A)the
Q12: The null hypothesis states that
A)null findings will
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