What are the two common errors in thinking about effect sizes that the counternull statistic helps the researcher minimize? Is this the same as Type I and Type II errors?
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Q18: Stacy purchases a new product that claims
Q19: The initials "NHST" stand for
A) Normal HypothesiS
Q20: _ tells us the nonnull magnitude of
Q21: Through statistical power analysis, one can estimate
Q22: When would one use a one-tailed p
Q24: Smaller sample sizes tend to _ confidence
Q25: What is the difference between Type I
Q26: How is null hypothesis significance testing (NHST)
Q27: What role does probability have in significance
Q28: Why are Type I and Type II
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