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Openai/691718ed-7ba4-8006-96d5-a66e0d9678fe
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==== - 避免錯誤推論：如果不透過假設檢定，性別差異可能只是隨機誤差。 ==== * 支持政策制定：政府或機構在制定性別平等政策時，需要「顯著差異」的統計證據。 * 提升研究嚴謹性：性別統計不只是描述，更需要統計推論來確認差異是否真實存在。 要不要我幫你畫一個簡單的圖表（像是「性別統計 → 建立虛無假設 → 檢定 → 推翻或接受 → 政策/研究應用」的流程圖），讓整個關係更直觀呢？
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