diff --git a/library/statistics.po b/library/statistics.po
index b7926b56dd..8f6d9b5062 100644
--- a/library/statistics.po
+++ b/library/statistics.po
@@ -9,7 +9,7 @@ msgstr ""
 "Project-Id-Version: Python 3.11\n"
 "Report-Msgid-Bugs-To: \n"
 "POT-Creation-Date: 2023-05-03 00:17+0000\n"
-"PO-Revision-Date: 2023-07-12 23:16+0800\n"
+"PO-Revision-Date: 2023-07-14 00:44+0800\n"
 "Last-Translator: Adrian Liaw <adrianliaw2000@gmail.com>\n"
 "Language-Team: Chinese - TAIWAN (https://github.com/python/python-docs-zh-"
 "tw)\n"
@@ -1000,7 +1000,7 @@ msgstr "定義了一個單一的例外："
 
 #: ../../library/statistics.rst:730
 msgid "Subclass of :exc:`ValueError` for statistics-related exceptions."
-msgstr ":exc:`ValueError` 的子類別，用於和統計相關的異常。"
+msgstr ":exc:`ValueError` 的子類別，用於和統計相關的例外。"
 
 #: ../../library/statistics.rst:734
 msgid ":class:`NormalDist` objects"
@@ -1105,6 +1105,8 @@ msgid ""
 "Generates *n* random samples for a given mean and standard deviation. "
 "Returns a :class:`list` of :class:`float` values."
 msgstr ""
+"給定平均值與標準差，產生 *n* 個隨機樣本。回傳一個由 :class:`float` 組成的 :"
+"class:`list`。"
 
 #: ../../library/statistics.rst:801
 msgid ""
@@ -1112,6 +1114,8 @@ msgid ""
 "generator.  This is useful for creating reproducible results, even in a "
 "multi-threading context."
 msgstr ""
+"若有給定 *seed*，則會建立一個以此為基礎的亂數產生器實例。這對於建立可重現的結"
+"果很有幫助，即使在多執行緒情境下也是如此。"
 
 #: ../../library/statistics.rst:807
 msgid ""
@@ -1120,6 +1124,10 @@ msgid ""
 "random variable *X* will be near the given value *x*.  Mathematically, it is "
 "the limit of the ratio ``P(x <= X < x+dx) / dx`` as *dx* approaches zero."
 msgstr ""
+"利用\\ `機率密度函式 (probability density function, pdf) <https://en."
+"wikipedia.org/wiki/Probability_density_function>`_ 計算隨機變數 *X* 接近給定"
+"值 *x* 的相對概度 (relative likelihood)。數學上，它是比率 ``P(x <= X < "
+"x+dx) / dx`` 在 *dx* 趨近於零時的極限值。"
 
 #: ../../library/statistics.rst:813
 msgid ""
@@ -1128,6 +1136,8 @@ msgid ""
 "\"density\").  Since the likelihood is relative to other points, its value "
 "can be greater than ``1.0``."
 msgstr ""
+"相對概度是樣本出現在狹窄範圍的機率，除以該範圍的寬度（故稱為「密度」）計算而"
+"得。由於概度是相對於其它點，故其值可大於 ``1.0``。"
 
 #: ../../library/statistics.rst:820
 msgid ""
@@ -1136,6 +1146,9 @@ msgid ""
 "random variable *X* will be less than or equal to *x*.  Mathematically, it "
 "is written ``P(X <= x)``."
 msgstr ""
+"利用\\ `累積分布函式 (cumulative distribution function, cdf) <https://en."
+"wikipedia.org/wiki/Cumulative_distribution_function>`_ 計算隨機變數 *X* 小於"
+"或等於 *x* 的機率。數學上，它記為 ``P(X <= x)``。"
 
 #: ../../library/statistics.rst:827
 msgid ""
@@ -1145,6 +1158,11 @@ msgid ""
 "statisticshowto.datasciencecentral.com/inverse-distribution-function/>`_ "
 "function.  Mathematically, it is written ``x : P(X <= x) = p``."
 msgstr ""
+"計算反累計分布函式 (inverse cumulative distribution function)，也稱為\\ `分位"
+"數函式 (quantile function) <https://en.wikipedia.org/wiki/"
+"Quantile_function>`_ 或者\\ `百分率點 (percent-point) <https://web.archive."
+"org/web/20190203145224/https://www.statisticshowto.datasciencecentral.com/"
+"inverse-distribution-function/>`_ 函式。數學上記為 ``x : P(X <= x) = p``。"
 
 #: ../../library/statistics.rst:833
 msgid ""
@@ -1152,6 +1170,7 @@ msgid ""
 "the variable being less than or equal to that value equals the given "
 "probability *p*."
 msgstr ""
+"找出一個值 *x*，使得隨機變數 *X* 小於或等於該值的機率等於給定的機率 *p*。"
 
 #: ../../library/statistics.rst:839
 msgid ""
@@ -1159,12 +1178,16 @@ msgid ""
 "a value between 0.0 and 1.0 giving `the overlapping area for the two "
 "probability density functions <https://www.rasch.org/rmt/rmt101r.htm>`_."
 msgstr ""
+"衡量兩常態分布之間的一致性。回傳一個介於 0.0 與 1.0 之間的值，表示\\ `兩機率"
+"密度函式的重疊區域 <https://www.rasch.org/rmt/rmt101r.htm>`_。"
 
 #: ../../library/statistics.rst:846
 msgid ""
 "Divide the normal distribution into *n* continuous intervals with equal "
 "probability.  Returns a list of (n - 1) cut points separating the intervals."
 msgstr ""
+"將常態分布分割成 *n* 個具有相等機率的連續區間。回傳一個 list，包含 (n-1) 個切"
+"割區間的分隔點。"
 
 #: ../../library/statistics.rst:850
 msgid ""
@@ -1172,6 +1195,9 @@ msgid ""
 "*n* to 100 for percentiles which gives the 99 cuts points that separate the "
 "normal distribution into 100 equal sized groups."
 msgstr ""
+"將 *n* 設定為 4 表示四分位數（預設值）。將 *n* 設定為 10 表示十分位數。將 "
+"*n* 設定為 100 表示百分位數，這會產生 99 個分隔點，將常態分布切割成大小相等的"
+"群組。"
 
 #: ../../library/statistics.rst:856
 msgid ""
@@ -1180,6 +1206,9 @@ msgid ""
 "deviations above or below the mean of the normal distribution: ``(x - "
 "mean) / stdev``."
 msgstr ""
+"計算\\ `標準分數 (Standard Score) <https://www.statisticshowto.com/"
+"probability-and-statistics/z-score/>`_，用以描述在常態分布中，*x* 高出或低於"
+"平均數幾個標準差：``(x - mean) / stdev``。"
 
 #: ../../library/statistics.rst:864
 msgid ""
@@ -1187,6 +1216,8 @@ msgid ""
 "multiplication and division by a constant.  These operations are used for "
 "translation and scaling.  For example:"
 msgstr ""
+":class:`NormalDist` 的實例支援對常數的加法、減法、乘法與除法。這些操作用於平"
+"移與縮放。例如："
 
 #: ../../library/statistics.rst:874
 msgid ""
@@ -1205,11 +1236,11 @@ msgstr ""
 
 #: ../../library/statistics.rst:897
 msgid ":class:`NormalDist` Examples and Recipes"
-msgstr ""
+msgstr ":class:`NormalDist` 範例與錦囊妙計"
 
 #: ../../library/statistics.rst:899
 msgid ":class:`NormalDist` readily solves classic probability problems."
-msgstr ""
+msgstr ":class:`NormalDist` 可以輕易地解決經典的機率問題。"
 
 #: ../../library/statistics.rst:901
 msgid ""
@@ -1225,6 +1256,8 @@ msgid ""
 "Find the `quartiles <https://en.wikipedia.org/wiki/Quartile>`_ and `deciles "
 "<https://en.wikipedia.org/wiki/Decile>`_ for the SAT scores:"
 msgstr ""
+"找出 SAT 分數的\\ `四分位數 <https://en.wikipedia.org/wiki/Quartile>`_\\ 以及"
+"\\ `十分位數 <https://en.wikipedia.org/wiki/Decile>`_："
 
 #: ../../library/statistics.rst:924
 msgid ""