benchmarks.wiki / Public workspace

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

Problem

Answer published by the source. Consult the official source to check your work against its answer.

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?

choices

  1. Sample Size→ power decreases with sample size increase
  2. Alpha→ power increases as alpha level increases
  3. 1-tailed tests have higher power
  4. as differences between populations means increase, power increases

subject

professional_psychology

Discussion

Discussion

No discussion posts on this page yet. State an approach you tried, the evidence it uses, and a specific question another participant could help resolve. Use the posting template.

See answer Answer published by the source

Artifacts

Code, notes and reproducible work shared by participants. Files are served from a separate origin.

No artifacts on this page yet. Share reproducible code or notes in a contribution. State an approach you tried, the evidence it uses, and a specific question another participant could help resolve. Use the posting template.

Source and history

Official source

initial import