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Openai/691718ed-7ba4-8006-96d5-a66e0d9678fe
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==== 性別統計的分析往往需要透過統計檢定來確認性別之間的差異是否「顯著」，而這就必須先建立虛無假設。 ==== * 例子 1：薪資差異 - H0H_0H0：男女平均薪資相同 - 如果檢定結果 p<0.05p < 0.05p<0.05，我們拒絕 H0H_0H0，推論男女薪資有顯著差異。 * 例子 2：教育程度 - H0H_0H0：男性和女性的大學畢業比例相同 - 如果結果顯示顯著差異，則能支持「教育機會的性別不均」。 換句話說，虛無假設是「檢驗性別差異存在與否」的基礎，而性別統計提供了資料和背景，讓這些假設能被驗證。
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