diff --git a/library/statistics.po b/library/statistics.po
index 8681a20d40..c8d18c1461 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: 2023-07-05 18:00+0800\n"
+"PO-Revision-Date: 2023-07-07 00:32+0800\n"
 "Last-Translator: Adrian Liaw <adrianliaw2000@gmail.com>\n"
 "Language-Team: Chinese - TAIWAN (https://github.com/python/python-docs-zh-"
 "tw)\n"
@@ -309,9 +309,10 @@ msgid ""
 "the entire population rather than a sample, then ``mean(data)`` is "
 "equivalent to calculating the true population mean μ."
 msgstr ""
-"樣本平均數提供了對真實母體平均數的不偏估計，所以從所有可能的樣本中取平均值"
-"時，``mean(sample)`` 會收斂至整個母體的真實平均值。若 *data* 為整個母體而非單"
-"一樣本，則 ``mean(data)`` 等同於計算真實的母體平均數 μ。"
+"樣本平均數提供了對真實母體平均數的不偏估計 (unbiased estimate)，所以從所有可"
+"能的樣本中取平均值時，``mean(sample)`` 會收斂至整個母體的真實平均值。若 "
+"*data* 為整個母體而非單一樣本，則 ``mean(data)`` 等同於計算真實的母體平均數 "
+"μ。"
 
 #: ../../library/statistics.rst:163
 msgid "Convert *data* to floats and compute the arithmetic mean."
@@ -593,6 +594,8 @@ msgid ""
 "The mode (when it exists) is the most typical value and serves as a measure "
 "of central location."
 msgstr ""
+"回傳離散或名目 *data* 中出現次數最多次的值，只回傳一個。眾數（如果存在）是最"
+"典型的值，並用來衡量資料的中心位置。"
 
 #: ../../library/statistics.rst:388
 msgid ""
@@ -601,24 +604,31 @@ msgid ""
 "instead, use ``min(multimode(data))`` or ``max(multimode(data))``. If the "
 "input *data* is empty, :exc:`StatisticsError` is raised."
 msgstr ""
+"若有多個出現次數相同的眾數，則回傳在 *data* 中最先出現的眾數。如果希望回傳其"
+"中最小或最大的眾數，可以使用 ``min(multimode(data))`` 或 "
+"``max(multimode(data))``。如果輸入的 *data* 為空，則會引發 :exc:"
+"`StatisticsError`。"
 
 #: ../../library/statistics.rst:393
 msgid ""
 "``mode`` assumes discrete data and returns a single value. This is the "
 "standard treatment of the mode as commonly taught in schools:"
 msgstr ""
+"``mode`` 假定為離散資料，並回傳單一的值。這也是一般學校教授的標準眾數定義："
 
 #: ../../library/statistics.rst:401
 msgid ""
 "The mode is unique in that it is the only statistic in this package that "
 "also applies to nominal (non-numeric) data:"
-msgstr ""
+msgstr "眾數特別之處在於它是此套件中唯一也適用於名目（非數值型）資料的統計量："
 
 #: ../../library/statistics.rst:409
 msgid ""
 "Now handles multimodal datasets by returning the first mode encountered. "
 "Formerly, it raised :exc:`StatisticsError` when more than one mode was found."
 msgstr ""
+"現在，遇到資料中有多個眾數時，會回傳第一個遇到的眾數。在以前，當找到大於一個"
+"眾數時，會引發 :exc:`StatisticsError`。"
 
 #: ../../library/statistics.rst:417
 msgid ""
@@ -635,6 +645,8 @@ msgid ""
 "Return the population standard deviation (the square root of the population "
 "variance).  See :func:`pvariance` for arguments and other details."
 msgstr ""
+"回傳母體標準差（即母體變異數的平方根）。有關引數以及其他細節，請參見 :func:"
+"`pvariance`。"
 
 #: ../../library/statistics.rst:444
 msgid ""
@@ -644,6 +656,9 @@ msgid ""
 "indicates that the data is spread out; a small variance indicates it is "
 "clustered closely around the mean."
 msgstr ""
+"回傳 *data* 的母體變異數。*data* 可為非空實數 sequence 或者 iterable。變異"
+"數，或者以平均數為中心的二階動差，用於衡量資料的變異性（離度或分散程度）。變"
+"異數大表示資料分散，變異數小表示資料集中在平均數附近。"
 
 #: ../../library/statistics.rst:450
 msgid ""
@@ -652,6 +667,9 @@ msgid ""
 "that is not the mean.  If it is missing or ``None`` (the default), the "
 "arithmetic mean is automatically calculated."
 msgstr ""
+"若有傳入選擇性的第二個引數 *mu*，該引數通常是 *data* 的平均值。它也可以用於計"
+"算非以平均值為中心的第二動差。如果沒有傳入此引數或者引數為 `None` （預設"
+"值），則自動計算資料的算數平均數。"
 
 #: ../../library/statistics.rst:455
 msgid ""
@@ -659,6 +677,8 @@ msgid ""
 "estimate the variance from a sample, the :func:`variance` function is "
 "usually a better choice."
 msgstr ""
+"使用此函式來計算整個母體的變異數。如果要從樣本估算變異數，:func:`variance` 通"
+"常是較好的選擇。"
 
 #: ../../library/statistics.rst:459
 msgid "Raises :exc:`StatisticsError` if *data* is empty."
@@ -674,10 +694,12 @@ msgid ""
 "If you have already calculated the mean of your data, you can pass it as the "
 "optional second argument *mu* to avoid recalculation:"
 msgstr ""
+"如果已經計算出資料的平均值，你可以將其作為選擇性的第二個引數 *mu* 傳遞以避免"
+"重新計算："
 
 #: ../../library/statistics.rst:478
 msgid "Decimals and Fractions are supported:"
-msgstr ""
+msgstr "支援小數 (decimal) 與分數 (fraction)："
 
 #: ../../library/statistics.rst:492
 msgid ""
@@ -685,6 +707,8 @@ msgid ""
 "σ².  When called on a sample instead, this is the biased sample variance s², "
 "also known as variance with N degrees of freedom."
 msgstr ""
+"當在整個母體上呼叫此函式時，會回傳母體變異數 σ²。當在樣本上呼叫此函式時，會回"
+"傳有偏差的樣本變異數 s²，也就是具有 N 個自由度的變異數。"
 
 #: ../../library/statistics.rst:496
 msgid ""
@@ -694,12 +718,17 @@ msgid ""
 "population, the result will be an unbiased estimate of the population "
 "variance."
 msgstr ""
+"若你以某種方式知道真正的母體平均數 μ，你可以將一個已知的母體平均數作為第二個"
+"引數提供給此函式，用以計算樣本的變異數。只要資料點是母體的隨機樣本，結果將是"
+"母體變異數的不偏估計。"
 
 #: ../../library/statistics.rst:505
 msgid ""
 "Return the sample standard deviation (the square root of the sample "
 "variance).  See :func:`variance` for arguments and other details."
 msgstr ""
+"回傳樣本標準差（即樣本變異數的平方根）。有關引數以及其他細節，請參見 :func:"
+"`variance`。"
 
 #: ../../library/statistics.rst:516
 msgid ""
@@ -709,6 +738,9 @@ msgid ""
 "that the data is spread out; a small variance indicates it is clustered "
 "closely around the mean."
 msgstr ""
+"回傳 *data* 的樣本變異數。*data* 為兩個值以上的實數 iterable。變異數，或者以"
+"平均數為中心的二階動差，用於衡量資料的變異性（離度或分散程度）。變異數大表示"
+"資料分散，變異數小表示資料集中在平均數附近。"
 
 #: ../../library/statistics.rst:522
 msgid ""
@@ -716,22 +748,28 @@ msgid ""
 "*data*.  If it is missing or ``None`` (the default), the mean is "
 "automatically calculated."
 msgstr ""
+"若有傳入選擇性的第二個引數 *xbar*，它應該是 *data* 的平均值。如果沒有傳入或者"
+"為 ``None`` （預設值），則自動計算資料的平均值。"
 
 #: ../../library/statistics.rst:526
 msgid ""
 "Use this function when your data is a sample from a population. To calculate "
 "the variance from the entire population, see :func:`pvariance`."
 msgstr ""
+"當你的資料是來自母體的樣本時，請使用此函式。若要從整個母體計算變異數，請參"
+"見 :func:`pvariance`。"
 
 #: ../../library/statistics.rst:529
 msgid "Raises :exc:`StatisticsError` if *data* has fewer than two values."
-msgstr ""
+msgstr "若 *data* 內少於兩個值，則引發 :exc:`StatisticsError`。"
 
 #: ../../library/statistics.rst:539
 msgid ""
 "If you have already calculated the mean of your data, you can pass it as the "
 "optional second argument *xbar* to avoid recalculation:"
 msgstr ""
+"如果已經計算出資料的平均值，你可以將其作為選擇性的第二個引數 *mu* 傳遞以避免"
+"重新計算："
 
 #: ../../library/statistics.rst:548
 msgid ""
@@ -739,10 +777,12 @@ msgid ""
 "mean as *xbar*.  Using arbitrary values for *xbar* can lead to invalid or "
 "impossible results."
 msgstr ""
+"此函式不會驗證你傳入的 *xbar* 是否為實際的平均數。傳入任意的 *xbar* 會導致無"
+"效或不可能的結果。"
 
 #: ../../library/statistics.rst:552
 msgid "Decimal and Fraction values are supported:"
-msgstr ""
+msgstr "支援小數 (decimal) 與分數 (fraction)："
 
 #: ../../library/statistics.rst:566
 msgid ""