Adds translations of library/statistics.po (#445)

cschan1828 · mattwang44 · web-flow · commit 5ec0b6e6ce35 · 2023-07-04T08:55:48.000Z
* Adds translations of library/statistics.po

* Update library/statistics.po

Co-authored-by: Wei-Hsiang (Matt) Wang &lt;mattwang44@gmail.com&gt;

* Update library/statistics.po

Co-authored-by: Wei-Hsiang (Matt) Wang &lt;mattwang44@gmail.com&gt;

---------

Co-authored-by: Wei-Hsiang (Matt) Wang &lt;mattwang44@gmail.com&gt;
diff --git 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: 2023-07-02 21:25+0800\n"
+"PO-Revision-Date: 2023-07-04 14:50+0800\n"
 "Last-Translator: Adrian Liaw <adrianliaw2000@gmail.com>\n"
 "Language-Team: Chinese - TAIWAN (https://github.com/python/python-docs-zh-"
 "tw)\n"
@@ -72,9 +72,9 @@ msgid ""
 "``quantiles()``.  The ``NaN`` values should be stripped before calling these "
 "functions::"
 msgstr ""
-"有些資料集使用 ``NaN`` （非數）來表示缺漏的資料。由於 NaN 具有特殊的比"
-"較語義，在排序資料或是統計出現次數的統計函數中，會引發意料之外或是未定義的行"
-"為。受影響的函數包含 ``median()``、``median_low()``、 ``median_high()``、 "
+"有些資料集使用 ``NaN`` （非數）來表示缺漏的資料。由於 NaN 具有特殊的比較語"
+"義，在排序資料或是統計出現次數的統計函數中，會引發意料之外或是未定義的行為。"
+"受影響的函數包含 ``median()``、``median_low()``、 ``median_high()``、 "
 "``median_grouped()``、 ``mode()``、 ``multimode()`` 以及 ``quantiles()``。在"
 "呼叫這些函數之前，應該先移除 NaN 值："
 
@@ -296,10 +296,10 @@ msgid ""
 "a more robust, although less efficient, measure of `central tendency "
 "<https://en.wikipedia.org/wiki/Central_tendency>`_, see :func:`median`."
 msgstr ""
-"平均值強烈受到\\ `離群值 (outliers) <https://en.wikipedia.org/wiki/Outlier>`_ "
-"的影響，且不一定能當作這些資料點的典型範例。若要使用更穩健但效率較低的\\ `集中"
-"趨勢 (central tendency) <https://en.wikipedia.org/wiki/Central_tendency>`_ 度"
-"量，請參考 :func:`median`。"
+"平均值強烈受到\\ `離群值 (outliers) <https://en.wikipedia.org/wiki/"
+"Outlier>`_ 的影響，且不一定能當作這些資料點的典型範例。若要使用更穩健但效率較"
+"低的\\ `集中趨勢 (central tendency) <https://en.wikipedia.org/wiki/"
+"Central_tendency>`_ 度量，請參考 :func:`median`。"
 
 #: ../../library/statistics.rst:154
 msgid ""
@@ -309,45 +309,57 @@ 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。"
 
 #: ../../library/statistics.rst:163
 msgid "Convert *data* to floats and compute the arithmetic mean."
-msgstr ""
+msgstr "將 *data* 轉換為浮點數並計算其算數平均數。"
 
 #: ../../library/statistics.rst:165
 msgid ""
 "This runs faster than the :func:`mean` function and it always returns a :"
 "class:`float`.  The *data* may be a sequence or iterable.  If the input "
 "dataset is empty, raises a :exc:`StatisticsError`."
 msgstr ""
+"這個函式運算比 :func:`mean` 更快，並且它總是回傳一個 :class:`float`。*data* "
+"可以是一個 sequence 或者 iterable。如果輸入的資料為空，則引發 :exc:"
+"`StatisticsError`。"
 
 #: ../../library/statistics.rst:174
 msgid ""
 "Optional weighting is supported.  For example, a professor assigns a grade "
 "for a course by weighting quizzes at 20%, homework at 20%, a midterm exam at "
 "30%, and a final exam at 30%:"
 msgstr ""
+"支援選擇性的加權。例如，一位教授以 20% 的比重計算小考分數，20% 的比重計算作業分"
+"數，30% 的比重計算期中考試分數，以及 30% 的比重計算期末考試分數："
 
 #: ../../library/statistics.rst:185
 msgid ""
 "If *weights* is supplied, it must be the same length as the *data* or a :exc:"
 "`ValueError` will be raised."
 msgstr ""
+"如果有提供 *weights*，它必須與 *data* 長度相同，否則將引發 :exc:"
+"`ValueError`。"
 
 #: ../../library/statistics.rst:190 ../../library/statistics.rst:258
 msgid "Added support for *weights*."
 msgstr "新增 *weights* 的支援。"
 
 #: ../../library/statistics.rst:196
 msgid "Convert *data* to floats and compute the geometric mean."
-msgstr ""
+msgstr "將 *data* 轉換成浮點數並計算其幾何平均數。"
 
 #: ../../library/statistics.rst:198
 msgid ""
 "The geometric mean indicates the central tendency or typical value of the "
 "*data* using the product of the values (as opposed to the arithmetic mean "
 "which uses their sum)."
 msgstr ""
+"幾何平均數使用數值的乘積（與之對照，算數平均數使用的是數值的和）來表示 "
+"*data* 的集中趨勢或典型值。"
 
 #: ../../library/statistics.rst:202
 msgid ""
