@@ -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 :2023-07-05 18:00 +0800\n "
12+ "PO-Revision-Date :2023-07-07 00:32 +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 "
@@ -309,9 +309,10 @@ 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。"
312+ "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"
313+ "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 "
314+ "*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 "
315+ "μ。"
315316
316317#: ../../library/statistics.rst:163
317318msgid "Convert *data* to floats and compute the arithmetic mean."
@@ -593,6 +594,8 @@ msgid ""
593594"The mode (when it exists) is the most typical value and serves as a measure "
594595"of central location."
595596msgstr ""
597+ "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"
598+ "典型的值，並用來衡量資料的中心位置。"
596599
597600#: ../../library/statistics.rst:388
598601msgid ""
@@ -601,24 +604,31 @@ msgid ""
601604"instead, use ``min(multimode(data))`` or ``max(multimode(data))``. If the "
602605"input *data* is empty, :exc:`StatisticsError` is raised."
603606msgstr ""
607+ "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"
608+ "中最小或最大的眾數，可以使用 ``min(multimode(data))`` 或 "
609+ "``max(multimode(data))``。如果輸入的 *data* 為空，則會引發 :exc:"
610+ "`StatisticsError`。"
604611
605612#: ../../library/statistics.rst:393
606613msgid ""
607614"``mode`` assumes discrete data and returns a single value. This is the "
608615"standard treatment of the mode as commonly taught in schools:"
609616msgstr ""
617+ "``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："
610618
611619#: ../../library/statistics.rst:401
612620msgid ""
613621"The mode is unique in that it is the only statistic in this package that "
614622"also applies to nominal (non-numeric) data:"
615- msgstr ""
623+ 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： "
616624
617625#: ../../library/statistics.rst:409
618626msgid ""
619627"Now handles multimodal datasets by returning the first mode encountered. "
620628"Formerly, it raised :exc:`StatisticsError` when more than one mode was found."
621629msgstr ""
630+ "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"
631+ "眾數時，會引發 :exc:`StatisticsError`。"
622632
623633#: ../../library/statistics.rst:417
624634msgid ""
@@ -635,6 +645,8 @@ msgid ""
635645"Return the population standard deviation (the square root of the population "
636646"variance). See :func:`pvariance` for arguments and other details."
637647msgstr ""
648+ "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:"
649+ "`pvariance`。"
638650
639651#: ../../library/statistics.rst:444
640652msgid ""
@@ -644,6 +656,9 @@ msgid ""
644656"indicates that the data is spread out; a small variance indicates it is "
645657"clustered closely around the mean."
646658msgstr ""
659+ "回傳 *data* 的母體變異數。*data* 可為非空實數 sequence 或者 iterable。變異"
660+ "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"
661+ "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。"
647662
648663#: ../../library/statistics.rst:450
649664msgid ""
@@ -652,13 +667,18 @@ msgid ""
652667"that is not the mean. If it is missing or ``None`` (the default), the "
653668"arithmetic mean is automatically calculated."
654669msgstr ""
670+ "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"
671+ "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"
672+ "值），則自動計算資料的算數平均數。"
655673
656674#: ../../library/statistics.rst:455
657675msgid ""
658676"Use this function to calculate the variance from the entire population. To "
659677"estimate the variance from a sample, the :func:`variance` function is "
660678"usually a better choice."
661679msgstr ""
680+ "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"
681+ "常是較好的選擇。"
662682
663683#: ../../library/statistics.rst:459
664684msgid "Raises :exc:`StatisticsError` if *data* is empty."
@@ -674,17 +694,21 @@ msgid ""
674694"If you have already calculated the mean of your data, you can pass it as the "
675695"optional second argument *mu* to avoid recalculation:"
676696msgstr ""
697+ "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"
698+ "重新計算："
677699
678700#: ../../library/statistics.rst:478
679701msgid "Decimals and Fractions are supported:"
680- msgstr ""
702+ msgstr "支援小數 (decimal) 與分數 (fraction)： "
681703
682704#: ../../library/statistics.rst:492
683705msgid ""
684706"When called with the entire population, this gives the population variance "
685707"σ². When called on a sample instead, this is the biased sample variance s², "
686708"also known as variance with N degrees of freedom."
687709msgstr ""
710+ "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"
711+ "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。"
688712
689713#: ../../library/statistics.rst:496
690714msgid ""
@@ -694,12 +718,17 @@ msgid ""
694718"population, the result will be an unbiased estimate of the population "
695719"variance."
696720msgstr ""
721+ "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"
722+ "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"
723+ "母體變異數的不偏估計。"
697724
698725#: ../../library/statistics.rst:505
699726msgid ""
700727"Return the sample standard deviation (the square root of the sample "
701728"variance). See :func:`variance` for arguments and other details."
702729msgstr ""
730+ "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:"
731+ "`variance`。"
703732
704733#: ../../library/statistics.rst:516
705734msgid ""
@@ -709,40 +738,51 @@ msgid ""
709738"that the data is spread out; a small variance indicates it is clustered "
710739"closely around the mean."
711740msgstr ""
741+ "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"
742+ "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"
743+ "資料分散，變異數小表示資料集中在平均數附近。"
712744
713745#: ../../library/statistics.rst:522
714746msgid ""
715747"If the optional second argument *xbar* is given, it should be the mean of "
716748"*data*. If it is missing or ``None`` (the default), the mean is "
717749"automatically calculated."
718750msgstr ""
751+ "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"
752+ "為 ``None`` （預設值），則自動計算資料的平均值。"
719753
720754#: ../../library/statistics.rst:526
721755msgid ""
722756"Use this function when your data is a sample from a population. To calculate "
723757"the variance from the entire population, see :func:`pvariance`."
724758msgstr ""
759+ "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"
760+ "見 :func:`pvariance`。"
725761
726762#: ../../library/statistics.rst:529
727763msgid "Raises :exc:`StatisticsError` if *data* has fewer than two values."
728- msgstr ""
764+ msgstr "若 *data* 內少於兩個值，則引發 :exc:`StatisticsError`。 "
729765
730766#: ../../library/statistics.rst:539
731767msgid ""
732768"If you have already calculated the mean of your data, you can pass it as the "
733769"optional second argument *xbar* to avoid recalculation:"
734770msgstr ""
771+ "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"
772+ "重新計算："
735773
736774#: ../../library/statistics.rst:548
737775msgid ""
738776"This function does not attempt to verify that you have passed the actual "
739777"mean as *xbar*. Using arbitrary values for *xbar* can lead to invalid or "
740778"impossible results."
741779msgstr ""
780+ "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"
781+ "效或不可能的結果。"
742782
743783#: ../../library/statistics.rst:552
744784msgid "Decimal and Fraction values are supported:"
745- msgstr ""
785+ msgstr "支援小數 (decimal) 與分數 (fraction)： "
746786
747787#: ../../library/statistics.rst:566
748788msgid ""