Why do some fields require very small significance levels (like 0.001) while others are okay with 0.05?
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Why do some fields require very small significance levels (like 0.001) while others are okay with 0.05?
Some fields require a smaller significance level (like 0.001) to minimize false positives due to the high stakes of error, while others accept 0.05 to balance sensitivity with practical research constraints.