Adds more translations of library/statistics.po (#448)

cschan1828 · web-flow · commit 3553fa2ad282 · 2023-07-10T04:32:42.000Z
* Adds more translations of

* Small fixes of library/statistics.po

* Small fixes

* add more translations of statistics.quantiles

* fixes build failure
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: 2023-07-07 00:32+0800\n"
+"PO-Revision-Date: 2023-07-09 21:14+0800\n"
 "Last-Translator: Adrian Liaw <adrianliaw2000@gmail.com>\n"
 "Language-Team: Chinese - TAIWAN (https://github.com/python/python-docs-zh-"
 "tw)\n"
@@ -579,6 +579,8 @@ msgid ""
 "\"Statistics for the Behavioral Sciences\", Frederick J Gravetter and Larry "
 "B Wallnau (8th Edition)."
 msgstr ""
+"\"Statistics for the Behavioral Sciences\", Frederick J Gravetter and Larry "
+"B Wallnau (8th Edition)."
 
 #: ../../library/statistics.rst:376
 msgid ""
@@ -587,6 +589,9 @@ msgid ""
 "spreadsheet, including `this discussion <https://mail.gnome.org/archives/"
 "gnumeric-list/2011-April/msg00018.html>`_."
 msgstr ""
+"Gnome Gnumeric 試算表中的 `SSMEDIAN <https://help.gnome.org/users/gnumeric/"
+"stable/gnumeric.html#gnumeric-function-SSMEDIAN>`_ 函式，包括\\ `這篇討論 "
+"<https://mail.gnome.org/archives/gnumeric-list/2011-April/msg00018.html>`_。"
 
 #: ../../library/statistics.rst:384
 msgid ""
@@ -791,19 +796,26 @@ msgid ""
 "representative (e.g. independent and identically distributed), the result "
 "should be an unbiased estimate of the true population variance."
 msgstr ""
+"這是經過 Bessel 校正 (Bessel's correction) 後的樣本變異數 s² ，又稱為自由度"
+"為 N-1 的變異數。只要資料點具有代表性（例如：獨立且具有相同分布），結果應該會"
+"是對真實母體變異數的不偏估計。"
 
 #: ../../library/statistics.rst:571
 msgid ""
 "If you somehow know the actual population mean μ you should pass it to the :"
 "func:`pvariance` function as the *mu* parameter to get the variance of a "
 "sample."
 msgstr ""
+"若你剛好知道真正的母體平均數 μ，你應該將其作為 *mu* 參數傳入 :func:"
+"`pvariance` 函式來計算樣本變異數。"
 
 #: ../../library/statistics.rst:577
 msgid ""
 "Divide *data* into *n* continuous intervals with equal probability. Returns "
 "a list of ``n - 1`` cut points separating the intervals."
 msgstr ""
+"將 *data* 分成 *n* 個具有相等機率的連續區間。回傳一個包含 ``n - 1`` 個用於切"
+"分各區間的分隔點的 list。"
 
 #: ../../library/statistics.rst:580
 msgid ""
@@ -812,27 +824,36 @@ msgid ""
 "*data* into 100 equal sized groups.  Raises :exc:`StatisticsError` if *n* is "
 "not least 1."
 msgstr ""
+"將 *n* 設為 4 以表示四分位數 (quartile) （預設值）。將 *n* 設置為 100 表示百"
+"分位數 (percentile)，這將給出 99 個分隔點將 *data* 分成 100 個大小相等的組。"
+"如果 *n* 不是至少為 1，則引發 :exc:`StatisticsError`。"
 
 #: ../../library/statistics.rst:585
 msgid ""
 "The *data* can be any iterable containing sample data.  For meaningful "
 "results, the number of data points in *data* should be larger than *n*. "
 "Raises :exc:`StatisticsError` if there are not at least two data points."
 msgstr ""
+"*data* 可以是包含樣本資料的任何 iterable。為了取得有意義的結果，*data* 中的資"
+"料點數量應大於 *n*。如果資料點少於兩個，則引發 :exc:`StatisticsError`。"
 
 #: ../../library/statistics.rst:589
 msgid ""
 "The cut points are linearly interpolated from the two nearest data points.  "
 "For example, if a cut point falls one-third of the distance between two "
 "sample values, ``100`` and ``112``, the cut-point will evaluate to ``104``."
 msgstr ""
+"分隔點是從兩個最近的資料點線性內插值計算出來的。舉例來說，如果分隔點落在兩個"
+"樣本值 ``100`` 與 ``112`` 之間的距離三分之一處，則分隔點的值將為 ``104``。"
 
 #: ../../library/statistics.rst:594
 msgid ""
 "The *method* for computing quantiles can be varied depending on whether the "
 "*data* includes or excludes the lowest and highest possible values from the "
 "population."
 msgstr ""
+"計算分位數的 *method* 可以根據 *data* 是否包含或排除來自母體的最小與最大可能"
+"的值而改變。"
 
 #: ../../library/statistics.rst:598
 msgid ""
@@ -843,6 +864,10 @@ msgid ""
 "them and assigns the following percentiles: 10%, 20%, 30%, 40%, 50%, 60%, "
 "70%, 80%, 90%."
 msgstr ""
+"預設的 *method* 是 \"exclusive\"，用於從可能找到比樣本更極端的值的母體中抽樣的"
+"樣本資料。對於 *m* 個已排序的資料點，計算出低於 *i-th* 的部分為 ``i / (m + "
+"1)``。給定九個樣本資料，此方法將對資料排序且計算下列百分位數：10%、20%、30%、"
+"40%、50%、60%、70%、80%、90%。"
 
 #: ../../library/statistics.rst:605
 msgid ""
@@ -855,6 +880,11 @@ msgid ""
 "assigns the following percentiles: 0%, 10%, 20%, 30%, 40%, 50%, 60%, 70%, "
 "80%, 90%, 100%."
 msgstr ""
+"若將 *method* 設為 \"inclusive\"，則用於描述母體或者已知包含母體中最極端值的樣"
+"本資料。在 *data* 中的最小值被視為第 0 百分位數，最大值為第 100 百分位數。對"
+"於 *m* 個已排序的資料點，計算出低於 *i-th* 的部分為 ``(i - 1) / (m - 1)``。給"
+"定十一個個樣本資料，此方法將對資料排序且計算下列百分位數：0%、10%、20%、30%、"
+"40%、50%、60%、70%、80%、90%、100%。"
 
 #: ../../library/statistics.rst:629
 msgid ""
