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Openai/691718ed-7ba4-8006-96d5-a66e0d9678fe
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=== Assistant: 在 100 名嬰兒 n100、p00.5p00.5p00.5、雙尾 α0.05\alpha0.05α0.05 的設定下,用精確二項去找臨界值: === 在 100 名嬰兒 (n=100)、p0=0.5p_0=0.5p0=0.5、雙尾 α=0.05\alpha=0.05α=0.05 的設定下,用精確二項去找臨界值: * 找到的最小上界是 男嬰 ≥ 61(對稱下界是 ≤ 39) * 對應的雙尾 p 值 ≈ 0.0352 < 0.05(已達顯著) 因此臨界區域為: * 拒絕 H0H_0H0(認為男女出生率不等):男嬰數 ≤ 39 或 ≥ 61 * 接受 H0H_0H0:男嬰數在 40 ~ 60 之間 直覺比較: * n=100n=100n=100 時需要至少 ±11 人(從 50 偏到 39 或 61,約 11% 的比例差)才顯著 * n=1000n=1000n=1000 時約 ±32 人(3.2%) * n=10000n=10000n=10000 時約 ±98 人(0.98%) 樣本越大,能偵測到越小的比例差。需要我把三種樣本規模的臨界區做成一張比較小表或圖嗎?
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