@@ -1125,8 +1125,8 @@ msgid ""
11251125"the limit of the ratio ``P(x <= X < x+dx) / dx`` as *dx* approaches zero."
11261126msgstr ""
11271127"利用\\ `機率密度函式 (probability density function, pdf) <https://en."
1128- "wikipedia.org/wiki/Probability_density_function>`_\\ 計算隨機變數 *X*接近給 "
1129- "定值 *x* 的相對概度 (relative likelihood)。數學上，它是比率 ``P(x <= X < "
1128+ "wikipedia.org/wiki/Probability_density_function>`_ 計算隨機變數 *X*接近給定 "
1129+ "值 *x* 的相對概度 (relative likelihood)。數學上，它是比率 ``P(x <= X < "
11301130"x+dx) / dx`` 在 *dx* 趨近於零時的極限值。"
11311131
11321132#: ../../library/statistics.rst:813
@@ -1147,8 +1147,8 @@ msgid ""
11471147"is written ``P(X <= x)``."
11481148msgstr ""
11491149"利用\\ `累積分布函式 (cumulative distribution function, cdf) <https://en."
1150- "wikipedia.org/wiki/Cumulative_distribution_function>`_\\ 計算隨機變數 *X*小 "
1151- "於或等於 *x* 的機率。數學上，它記為 ``P(X <= x)``。"
1150+ "wikipedia.org/wiki/Cumulative_distribution_function>`_ 計算隨機變數 *X*小於 "
1151+ "或等於 *x* 的機率。數學上，它記為 ``P(X <= x)``。"
11521152
11531153#: ../../library/statistics.rst:827
11541154msgid ""
@@ -1160,9 +1160,9 @@ msgid ""
11601160msgstr ""
11611161"計算反累計分布函式 (inverse cumulative distribution function)，也稱為\\ `分位"
11621162"數函式 (quantile function) <https://en.wikipedia.org/wiki/"
1163- "Quantile_function>`_\\ 或者 `百分率點 (percent-point) <https://web.archive."
1163+ "Quantile_function>`_ 或者\\ `百分率點 (percent-point) <https://web.archive."
11641164"org/web/20190203145224/https://www.statisticshowto.datasciencecentral.com/"
1165- "inverse-distribution-function/>`_\\ 函式。數學上記為 ``x : P(X <= x) = p``。"
1165+ "inverse-distribution-function/>`_ 函式。數學上記為 ``x : P(X <= x) = p``。"
11661166
11671167#: ../../library/statistics.rst:833
11681168msgid ""
@@ -1236,7 +1236,7 @@ msgstr ""
12361236
12371237#: ../../library/statistics.rst:897
12381238msgid ":class:`NormalDist` Examples and Recipes"
1239- msgstr ":class:`NormalDist`範例與食譜 "
1239+ msgstr ":class:`NormalDist`範例與錦囊妙計 "
12401240
12411241#: ../../library/statistics.rst:899
12421242msgid ":class:`NormalDist` readily solves classic probability problems."