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MMLU-Pro / 2145 / TYPE II ERROR is the failure to reject a false null hypothesis. The Power is the…

Problem

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question

TYPE II ERROR is the failure to reject a false null hypothesis. The Power is the probability of NOT making a Type II error and is effected by several factors. Which factor out of the following ones that have influence on the power is incorrectly defined?

category

psychology

options

  1. Variability→ power decreases as variability increases
  2. as differences between populations means increase, power increases
  3. Sample Size→ power decreases with sample size increase
  4. Confidence level→ power decreases as confidence level increases
  5. 1-tailed tests have higher power
  6. Alpha→ power increases as alpha level increases
  7. Population size→ power decreases as population size increases

src

ori_mmlu-professional_psychology

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