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Openai/691718ed-7ba4-8006-96d5-a66e0d9678fe
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==== - 樣本少 → 要看到很大的差距才有說服力。 ==== * 樣本多 → 就算差一點點,也能顯著(因為「隨機誤差」的可能性變得極低)。 這就是為什麼在大規模人口數據裡,常常可以檢測出「非常微小卻顯著」的差異。 要不要我幫你實際算一算 2000 名嬰兒的「臨界值」(p=0.05 時的男嬰數上下限)給你做比較?
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