@@ -9,7 +9,7 @@ msgstr ""
99"Project-Id-Version :Python 3.11\n "
1010"Report-Msgid-Bugs-To :\n "
1111"POT-Creation-Date :2023-05-03 00:17+0000\n "
12- "PO-Revision-Date :2023-07-02 21:25 +0800\n "
12+ "PO-Revision-Date :2023-07-04 14:50 +0800\n "
1313"Last-Translator :Adrian Liaw <adrianliaw2000@gmail.com>\n "
1414"Language-Team :Chinese - TAIWAN (https://github.com/python/python-docs-zh- "
1515"tw)\n "
@@ -72,9 +72,9 @@ msgid ""
7272"``quantiles()``. The ``NaN`` values should be stripped before calling these "
7373"functions::"
7474msgstr ""
75- "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 "
76- "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 "
77- "為。 受影響的函數包含 ``median()``、``median_low()``、 ``median_high()``、 "
75+ "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 "
76+ "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。 "
77+ "受影響的函數包含 ``median()``、``median_low()``、 ``median_high()``、 "
7878"``median_grouped()``、 ``mode()``、 ``multimode()`` 以及 ``quantiles()``。在"
7979"呼叫這些函數之前，應該先移除 NaN 值："
8080
@@ -296,10 +296,10 @@ msgid ""
296296"a more robust, although less efficient, measure of `central tendency "
297297"<https://en.wikipedia.org/wiki/Central_tendency>`_, see :func:`median`."
298298msgstr ""
299- "平均值強烈受到\\ `離群值 (outliers) <https://en.wikipedia.org/wiki/Outlier>`_ "
300- "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 "
301- "趨勢 (central tendency) <https://en.wikipedia.org/wiki/Central_tendency>`_ 度 "
302- "量 ，請參考 :func:`median`。"
299+ "平均值強烈受到\\ `離群值 (outliers) <https://en.wikipedia.org/wiki/"
300+ "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 "
301+ "低的 \\ `集中趨勢 (central tendency) <https://en.wikipedia.org/wiki/"
302+ "Central_tendency>`_ 度量 ，請參考 :func:`median`。"
303303
304304#: ../../library/statistics.rst:154
305305msgid ""
@@ -309,45 +309,57 @@ msgid ""
309309"the entire population rather than a sample, then ``mean(data)`` is "
310310"equivalent to calculating the true population mean μ."
311311msgstr ""
312+ "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"
313+ "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"
314+ "一樣本，則 ``mean(data)`` 等同於計算真實的母體平均數 μ。"
312315
313316#: ../../library/statistics.rst:163
314317msgid "Convert *data* to floats and compute the arithmetic mean."
315- msgstr ""
318+ msgstr "將 *data* 轉換為浮點數並計算其算數平均數。 "
316319
317320#: ../../library/statistics.rst:165
318321msgid ""
319322"This runs faster than the :func:`mean` function and it always returns a :"
320323"class:`float`. The *data* may be a sequence or iterable. If the input "
321324"dataset is empty, raises a :exc:`StatisticsError`."
322325msgstr ""
326+ "這個函式運算比 :func:`mean` 更快，並且它總是回傳一個 :class:`float`。*data* "
327+ "可以是一個 sequence 或者 iterable。如果輸入的資料為空，則引發 :exc:"
328+ "`StatisticsError`。"
323329
324330#: ../../library/statistics.rst:174
325331msgid ""
326332"Optional weighting is supported. For example, a professor assigns a grade "
327333"for a course by weighting quizzes at 20%, homework at 20%, a midterm exam at "
328334"30%, and a final exam at 30%:"
329335msgstr ""
336+ "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"
337+ "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："
330338
331339#: ../../library/statistics.rst:185
332340msgid ""
333341"If *weights* is supplied, it must be the same length as the *data* or a :exc:"
334342"`ValueError` will be raised."
335343msgstr ""
344+ "如果有提供 *weights*，它必須與 *data* 長度相同，否則將引發 :exc:"
345+ "`ValueError`。"
336346
337347#: ../../library/statistics.rst:190 ../../library/statistics.rst:258
338348msgid "Added support for *weights*."
339349msgstr "新增 *weights* 的支援。"
340350
341351#: ../../library/statistics.rst:196
342352msgid "Convert *data* to floats and compute the geometric mean."
343- msgstr ""
353+ msgstr "將 *data* 轉換成浮點數並計算其幾何平均數。 "
344354
345355#: ../../library/statistics.rst:198
346356msgid ""
347357"The geometric mean indicates the central tendency or typical value of the "
348358"*data* using the product of the values (as opposed to the arithmetic mean "
349359"which uses their sum)."
350360msgstr ""
361+ "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 "
362+ "*data* 的集中趨勢或典型值。"
351363
352364#: ../../library/statistics.rst:202
353365msgid ""