Expand Up @@ -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: 2023-07-12 23:16 +0800\n" "PO-Revision-Date: 2023-07-14 00:44 +0800\n" "Last-Translator: Adrian Liaw <adrianliaw2000@gmail.com>\n" "Language-Team: Chinese - TAIWAN (https://github.com/python/python-docs-zh-" "tw)\n" Expand Down Expand Up @@ -1000,7 +1000,7 @@ msgstr "定義了一個單一的例外：" #: ../../library/statistics.rst:730 msgid "Subclass of :exc:`ValueError` for statistics-related exceptions." msgstr ":exc:`ValueError` 的子類別，用於和統計相關的異常 。" msgstr ":exc:`ValueError` 的子類別，用於和統計相關的例外 。" #: ../../library/statistics.rst:734 msgid ":class:`NormalDist` objects" Expand Down Expand Up @@ -1105,13 +1105,17 @@ msgid "" "Generates *n* random samples for a given mean and standard deviation. " "Returns a :class:`list` of :class:`float` values." msgstr "" "給定平均值與標準差，產生 *n* 個隨機樣本。回傳一個由 :class:`float` 組成的 :" "class:`list`。" #: ../../library/statistics.rst:801 msgid "" "If *seed* is given, creates a new instance of the underlying random number " "generator. This is useful for creating reproducible results, even in a " "multi-threading context." msgstr "" "若有給定 *seed*，則會建立一個以此為基礎的亂數產生器實例。這對於建立可重現的結" "果很有幫助，即使在多執行緒情境下也是如此。" #: ../../library/statistics.rst:807 msgid "" Expand All @@ -1120,6 +1124,10 @@ msgid "" "random variable *X* will be near the given value *x*. Mathematically, it is " "the limit of the ratio ``P(x <= X < x+dx) / dx`` as *dx* approaches zero." msgstr "" "利用\\ `機率密度函式 (probability density function, pdf) <https://en." "wikipedia.org/wiki/Probability_density_function>`_ 計算隨機變數 *X* 接近給定" "值 *x* 的相對概度 (relative likelihood)。數學上，它是比率 ``P(x <= X < " "x+dx) / dx`` 在 *dx* 趨近於零時的極限值。" #: ../../library/statistics.rst:813 msgid "" Expand All @@ -1128,6 +1136,8 @@ msgid "" "\"density\"). Since the likelihood is relative to other points, its value " "can be greater than ``1.0``." msgstr "" "相對概度是樣本出現在狹窄範圍的機率，除以該範圍的寬度（故稱為「密度」）計算而" "得。由於概度是相對於其它點，故其值可大於 ``1.0``。" #: ../../library/statistics.rst:820 msgid "" Expand All @@ -1136,6 +1146,9 @@ msgid "" "random variable *X* will be less than or equal to *x*. Mathematically, it " "is written ``P(X <= x)``." msgstr "" "利用\\ `累積分布函式 (cumulative distribution function, cdf) <https://en." "wikipedia.org/wiki/Cumulative_distribution_function>`_ 計算隨機變數 *X* 小於" "或等於 *x* 的機率。數學上，它記為 ``P(X <= x)``。" #: ../../library/statistics.rst:827 msgid "" Expand All @@ -1145,33 +1158,46 @@ msgid "" "statisticshowto.datasciencecentral.com/inverse-distribution-function/>`_ " "function. Mathematically, it is written ``x : P(X <= x) = p``." msgstr "" "計算反累計分布函式 (inverse cumulative distribution function)，也稱為\\ `分位" "數函式 (quantile function) <https://en.wikipedia.org/wiki/" "Quantile_function>`_ 或者\\ `百分率點 (percent-point) <https://web.archive." "org/web/20190203145224/https://www.statisticshowto.datasciencecentral.com/" "inverse-distribution-function/>`_ 函式。數學上記為 ``x : P(X <= x) = p``。" #: ../../library/statistics.rst:833 msgid "" "Finds the value *x* of the random variable *X* such that the probability of " "the variable being less than or equal to that value equals the given " "probability *p*." msgstr "" "找出一個值 *x*，使得隨機變數 *X* 小於或等於該值的機率等於給定的機率 *p*。" #: ../../library/statistics.rst:839 msgid "" "Measures the agreement between two normal probability distributions. Returns " "a value between 0.0 and 1.0 giving `the overlapping area for the two " "probability density functions <https://www.rasch.org/rmt/rmt101r.htm>`_." msgstr "" "衡量兩常態分布之間的一致性。回傳一個介於 0.0 與 1.0 之間的值，表示\\ `兩機率" "密度函式的重疊區域 <https://www.rasch.org/rmt/rmt101r.htm>`_。" #: ../../library/statistics.rst:846 msgid "" "Divide the normal distribution into *n* continuous intervals with equal " "probability. Returns a list of (n - 1) cut points separating the intervals." msgstr "" "將常態分布分割成 *n* 個具有相等機率的連續區間。回傳一個 list，包含 (n-1) 個切" "割區間的分隔點。" #: ../../library/statistics.rst:850 msgid "" "Set *n* to 4 for quartiles (the default). Set *n* to 10 for deciles. Set " "*n* to 100 for percentiles which gives the 99 cuts points that separate the " "normal distribution into 100 equal sized groups." msgstr "" "將 *n* 設定為 4 表示四分位數（預設值）。將 *n* 設定為 10 表示十分位數。將 " "*n* 設定為 100 表示百分位數，這會產生 99 個分隔點，將常態分布切割成大小相等的" "群組。" #: ../../library/statistics.rst:856 msgid "" Expand All @@ -1180,13 +1206,18 @@ msgid "" "deviations above or below the mean of the normal distribution: ``(x - " "mean) / stdev``." msgstr "" "計算\\ `標準分數 (Standard Score) <https://www.statisticshowto.com/" "probability-and-statistics/z-score/>`_，用以描述在常態分布中，*x* 高出或低於" "平均數幾個標準差：``(x - mean) / stdev``。" #: ../../library/statistics.rst:864 msgid "" "Instances of :class:`NormalDist` support addition, subtraction, " "multiplication and division by a constant. These operations are used for " "translation and scaling. For example:" msgstr "" ":class:`NormalDist` 的實例支援對常數的加法、減法、乘法與除法。這些操作用於平" "移與縮放。例如：" #: ../../library/statistics.rst:874 msgid "" Expand All @@ -1205,11 +1236,11 @@ msgstr "" #: ../../library/statistics.rst:897 msgid ":class:`NormalDist` Examples and Recipes" msgstr "" msgstr ":class:`NormalDist` 範例與錦囊妙計 " #: ../../library/statistics.rst:899 msgid ":class:`NormalDist` readily solves classic probability problems." msgstr "" msgstr ":class:`NormalDist` 可以輕易地解決經典的機率問題。 " #: ../../library/statistics.rst:901 msgid "" Expand All @@ -1225,6 +1256,8 @@ msgid "" "Find the `quartiles <https://en.wikipedia.org/wiki/Quartile>`_ and `deciles " "<https://en.wikipedia.org/wiki/Decile>`_ for the SAT scores:" msgstr "" "找出 SAT 分數的\\ `四分位數 <https://en.wikipedia.org/wiki/Quartile>`_\\ 以及" "\\ `十分位數 <https://en.wikipedia.org/wiki/Decile>`_：" #: ../../library/statistics.rst:924 msgid "" Expand Down