Biostatistics & Research · single question
When conducting statistical analysis of a study, what is the most important factor to consider regarding Type I and Type II errors?
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Correct answer: A. Type I and Type II error rates
- A. CORRECT — Understanding and controlling Type I error (false positive, alpha = 0.05) and Type II error (false negative, beta; power = 1-beta) is the most critical consideration in statistical significance testing.
- B. INCORRECT — Dependent variable count relates to study design complexity, not directly to significance testing.
- C. INCORRECT — Randomization is critical for validity of RCTs but is not the primary factor in statistical significance testing.
- D. INCORRECT — Population size determines external validity (generalizability), not statistical significance per se.
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