@@ -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 :2023-07-10 23:56 +0800\n "
12+ "PO-Revision-Date :2023-07-12 23:16 +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 "
@@ -911,7 +911,7 @@ msgid ""
911911"linear relationship."
912912msgstr ""
913913"回傳兩輸入的 `Pearson 相關係數 (Pearson’s correlation coefficient) <https://"
914- "en.wikipedia.org/wiki/Pearson_correlation_coefficient>`。Pearson 相關係數 "
914+ "en.wikipedia.org/wiki/Pearson_correlation_coefficient>`_ 。Pearson 相關係數 "
915915"*r* 的值介於 -1 與 +1 之間。它衡量線性關係的強度與方向,其中 +1 表示強烈正線"
916916"性相關,-1 表示強烈負線性相關,而 0 表示無線性關係。"
917917
@@ -968,8 +968,8 @@ msgid ""
968968"2019 assuming that they had kept the pace."
969969msgstr ""
970970"舉例來說,我們可以使用 `Monty Python 系列電影的上映日期 <https://en."
971- "wikipedia.org/wiki/Monty_Python#Films>`_\\ 來預測至 2019 年為止,假設他們保持固 "
972- "定的製作速度 ,應該會產生的 Monty Python 電影的累計數量。"
971+ "wikipedia.org/wiki/Monty_Python#Films>`_\\ 來預測至 2019 年為止,假設他們保持 "
972+ "固定的製作速度 ,應該會產生的 Monty Python 電影的累計數量。"
973973
974974#: ../../library/statistics.rst:710
975975msgid ""
@@ -978,9 +978,9 @@ msgid ""
978978"line passing through the origin. Since the *intercept* will always be 0.0, "
979979"the underlying linear function simplifies to:"
980980msgstr ""
981- "若將 *proportional* 設為 True,則假設自變數 *x* 與應變數"
982- " *y* 是直接成比例的, 資料座落在通過原點的一直線上。由於 *intercept* "
983- "始終為 0.0,因此線性函式可簡化如下 :"
981+ "若將 *proportional* 設為 True,則假設自變數 *x* 與應變數 *y* 是直接成比例的, "
982+ "資料座落在通過原點的一直線上。由於 *intercept*始終為 0.0,因此線性函式可簡化 "
983+ "如下 :"
984984
985985#: ../../library/statistics.rst:716
986986msgid "*y = slope\\ * x + noise*"
@@ -996,11 +996,11 @@ msgstr "例外"
996996
997997#: ../../library/statistics.rst:726
998998msgid "A single exception is defined:"
999- msgstr ""
999+ msgstr "定義了一個單一的例外: "
10001000
10011001#: ../../library/statistics.rst:730
10021002msgid "Subclass of :exc:`ValueError` for statistics-related exceptions."
1003- msgstr ""
1003+ msgstr ":exc:`ValueError` 的子類別,用於和統計相關的異常。 "
10041004
10051005#: ../../library/statistics.rst:734
10061006msgid ":class:`NormalDist` objects"
@@ -1013,61 +1013,80 @@ msgid ""
10131013"Courses/1997-98/101/ranvar.htm>`_. It is a class that treats the mean and "
10141014"standard deviation of data measurements as a single entity."
10151015msgstr ""
1016+ ":class:`NormalDist` 是一種用於建立與操作\\ `隨機變數 (random variable) "
1017+ "<http://www.stat.yale.edu/Courses/1997-98/101/ranvar.htm>`_ 的常態分布的工"
1018+ "具。它是一個將量測資料的平均數與標準差視為單一實體的類別。"
10161019
10171020#: ../../library/statistics.rst:742
10181021msgid ""
10191022"Normal distributions arise from the `Central Limit Theorem <https://en."
10201023"wikipedia.org/wiki/Central_limit_theorem>`_ and have a wide range of "
10211024"applications in statistics."
10221025msgstr ""
1026+ "常態分布源自於\\ `中央極限定理 (Central Limit Theorem) <https://en.wikipedia."
1027+ "org/wiki/Central_limit_theorem>`_,在統計學中有著廣泛的應用。"
10231028
10241029#: ../../library/statistics.rst:748
10251030msgid ""
10261031"Returns a new *NormalDist* object where *mu* represents the `arithmetic mean "
10271032"<https://en.wikipedia.org/wiki/Arithmetic_mean>`_ and *sigma* represents the "
10281033"`standard deviation <https://en.wikipedia.org/wiki/Standard_deviation>`_."
10291034msgstr ""
1035+ "此方法會回傳一個新 *NormalDist* 物件,其中 *mu* 代表\\ `算數平均數 <https://"
1036+ "en.wikipedia.org/wiki/Arithmetic_mean>`_\\ 而 *sigma* 代表\\ `標準差 "
1037+ "<https://en.wikipedia.org/wiki/Standard_deviation>`_。"
10301038
10311039#: ../../library/statistics.rst:753
10321040msgid "If *sigma* is negative, raises :exc:`StatisticsError`."
1033- msgstr ""
1041+ msgstr "若 *sigma* 為負值,則引發 :exc:`StatisticsError`。 "
10341042
10351043#: ../../library/statistics.rst:757
10361044msgid ""
10371045"A read-only property for the `arithmetic mean <https://en.wikipedia.org/wiki/"
10381046"Arithmetic_mean>`_ of a normal distribution."
10391047msgstr ""
1048+ "常態分布中的\\ `算數平均數 <https://en.wikipedia.org/wiki/"
1049+ "Arithmetic_mean>`_\\ 唯讀屬性。"
10401050
10411051#: ../../library/statistics.rst:763
10421052msgid ""
10431053"A read-only property for the `median <https://en.wikipedia.org/wiki/"
10441054"Median>`_ of a normal distribution."
10451055msgstr ""
1056+ "常態分布中的\\ `中位數 <https://en.wikipedia.org/wiki/Median>`_\\ 唯讀屬性。"
10461057
10471058#: ../../library/statistics.rst:769
10481059msgid ""
10491060"A read-only property for the `mode <https://en.wikipedia.org/wiki/"
10501061"Mode_(statistics)>`_ of a normal distribution."
10511062msgstr ""
1063+ "常態分布中的\\ `眾數 <https://en.wikipedia.org/wiki/Mode_(statistics)>`_\\ 唯"
1064+ "讀屬性。"
10521065
10531066#: ../../library/statistics.rst:775
10541067msgid ""
10551068"A read-only property for the `standard deviation <https://en.wikipedia.org/"
10561069"wiki/Standard_deviation>`_ of a normal distribution."
10571070msgstr ""
1071+ "常態分布中的\\ `標準差 <https://en.wikipedia.org/wiki/"
1072+ "Standard_deviation>`_\\ 唯讀屬性。"
10581073
10591074#: ../../library/statistics.rst:781
10601075msgid ""
10611076"A read-only property for the `variance <https://en.wikipedia.org/wiki/"
10621077"Variance>`_ of a normal distribution. Equal to the square of the standard "
10631078"deviation."
10641079msgstr ""
1080+ "常態分布中的\\ `變異數 <https://en.wikipedia.org/wiki/Variance>`_\\ 唯讀屬"
1081+ "性。"
10651082
10661083#: ../../library/statistics.rst:787
10671084msgid ""
10681085"Makes a normal distribution instance with *mu* and *sigma* parameters "
10691086"estimated from the *data* using :func:`fmean` and :func:`stdev`."
10701087msgstr ""
1088+ "利用 :func:`fmean` 與 :func:`stdev` 函式,估計 *data* 的 *mu* 與 *sigma* 參"
1089+ "數,建立一個常態分布的實例。"
10711090
10721091#: ../../library/statistics.rst:790
10731092msgid ""
@@ -1077,6 +1096,9 @@ msgid ""
10771096"point to estimate a central value and at least two points to estimate "
10781097"dispersion."
10791098msgstr ""
1099+ "*data* 可以是任何 :term:`iterable`,並應包含可以轉換為 :class:`float` 的值。"
1100+ "若 *data* 沒有包含至少兩個以上的元素在內,則引發 :exc:`StatisticsError`,因為"
1101+ "至少需要一個點來估計中央值且至少需要兩個點來估計分散情形。"
10801102
10811103#: ../../library/statistics.rst:798
10821104msgid ""