@@ -1125,8 +1125,8 @@ msgid ""
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"the limit of the ratio ``P(x <= X < x+dx) / dx`` as *dx* approaches zero."
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msgstr ""
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"利用\\ `機率密度函式 (probability density function, pdf) <https://en."
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- "wikipedia.org/wiki/Probability_density_function>`_\\ 計算隨機變數 *X* 接近給 "
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- "定值 *x* 的相對概度 (relative likelihood)。數學上,它是比率 ``P(x <= X < "
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+ "wikipedia.org/wiki/Probability_density_function>`_ 計算隨機變數 *X* 接近給定 "
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+ "值 *x* 的相對概度 (relative likelihood)。數學上,它是比率 ``P(x <= X < "
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"x+dx) / dx`` 在 *dx* 趨近於零時的極限值。"
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#: ../../library/statistics.rst:813
@@ -1147,8 +1147,8 @@ msgid ""
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"is written ``P(X <= x)``."
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msgstr ""
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"利用\\ `累積分布函式 (cumulative distribution function, cdf) <https://en."
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- "wikipedia.org/wiki/Cumulative_distribution_function>`_\\ 計算隨機變數 *X* 小 "
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- "於或等於 *x* 的機率。數學上,它記為 ``P(X <= x)``。"
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+ "wikipedia.org/wiki/Cumulative_distribution_function>`_ 計算隨機變數 *X* 小於 "
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+ "或等於 *x* 的機率。數學上,它記為 ``P(X <= x)``。"
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#: ../../library/statistics.rst:827
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msgid ""
@@ -1160,9 +1160,9 @@ msgid ""
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msgstr ""
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"計算反累計分布函式 (inverse cumulative distribution function),也稱為\\ `分位"
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"數函式 (quantile function) <https://en.wikipedia.org/wiki/"
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- "Quantile_function>`_\\ 或者 `百分率點 (percent-point) <https://web.archive."
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+ "Quantile_function>`_ 或者\\ `百分率點 (percent-point) <https://web.archive."
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"org/web/20190203145224/https://www.statisticshowto.datasciencecentral.com/"
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- "inverse-distribution-function/>`_\\ 函式。數學上記為 ``x : P(X <= x) = p``。"
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+ "inverse-distribution-function/>`_ 函式。數學上記為 ``x : P(X <= x) = p``。"
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#: ../../library/statistics.rst:833
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msgid ""
@@ -1236,7 +1236,7 @@ msgstr ""
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#: ../../library/statistics.rst:897
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msgid ":class:`NormalDist` Examples and Recipes"
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- msgstr ":class:`NormalDist` 範例與食譜 "
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+ msgstr ":class:`NormalDist` 範例與錦囊妙計 "
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#: ../../library/statistics.rst:899
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msgid ":class:`NormalDist` readily solves classic probability problems."
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