A statistical power analysis tells us:
A) How large our effect size is.
B) The probability of avoiding a Type II error assuming our hypothesis is true.
C) The probability of committing a Type I error.
D) How much substantive significance our findings have.
Correct Answer:
Verified
Q3: Ignoring statistical power can result in
A) conducting
Q4: The probability of a Type II error
Q5: The t-test is appropriate to use when
Q6: Which statistical significance test should be used
Q7: Parametric tests assume
A) interval- or ratio-level measurement
Q9: Which of the following statistics can be
Q10: Which of the following statistics can be
Q11: Which of the following statements is/are true
Q12: Nonparametric tests are intended for use when
Q13: A rigorous and trustworthy meta-analysis worthy of
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