@@ -9,7 +9,7 @@ msgstr ""
9
9
"Project-Id-Version : Python 3.11\n "
10
10
"Report-Msgid-Bugs-To : \n "
11
11
"POT-Creation-Date : 2023-05-03 00:17+0000\n "
12
- "PO-Revision-Date : 2023-07-12 23:16 +0800\n "
12
+ "PO-Revision-Date : 2023-07-14 00:44 +0800\n "
13
13
"Last-Translator : Adrian Liaw <adrianliaw2000@gmail.com>\n "
14
14
"Language-Team : Chinese - TAIWAN (https://github.com/python/python-docs-zh- "
15
15
"tw)\n "
@@ -1000,7 +1000,7 @@ msgstr "定義了一個單一的例外:"
1000
1000
1001
1001
#: ../../library/statistics.rst:730
1002
1002
msgid "Subclass of :exc:`ValueError` for statistics-related exceptions."
1003
- msgstr ":exc:`ValueError` 的子類別,用於和統計相關的異常 。"
1003
+ msgstr ":exc:`ValueError` 的子類別,用於和統計相關的例外 。"
1004
1004
1005
1005
#: ../../library/statistics.rst:734
1006
1006
msgid ":class:`NormalDist` objects"
@@ -1105,13 +1105,17 @@ msgid ""
1105
1105
"Generates *n* random samples for a given mean and standard deviation. "
1106
1106
"Returns a :class:`list` of :class:`float` values."
1107
1107
msgstr ""
1108
+ "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 :"
1109
+ "class:`list`。"
1108
1110
1109
1111
#: ../../library/statistics.rst:801
1110
1112
msgid ""
1111
1113
"If *seed* is given, creates a new instance of the underlying random number "
1112
1114
"generator. This is useful for creating reproducible results, even in a "
1113
1115
"multi-threading context."
1114
1116
msgstr ""
1117
+ "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"
1118
+ "果很有幫助,即使在多執行緒情境下也是如此。"
1115
1119
1116
1120
#: ../../library/statistics.rst:807
1117
1121
msgid ""
@@ -1120,6 +1124,10 @@ msgid ""
1120
1124
"random variable *X* will be near the given value *x*. Mathematically, it is "
1121
1125
"the limit of the ratio ``P(x <= X < x+dx) / dx`` as *dx* approaches zero."
1122
1126
msgstr ""
1127
+ "利用\\ `機率密度函式 (probability density function, pdf) <https://en."
1128
+ "wikipedia.org/wiki/Probability_density_function>`_ 計算隨機變數 *X* 接近給定"
1129
+ "值 *x* 的相對概度 (relative likelihood)。數學上,它是比率 ``P(x <= X < "
1130
+ "x+dx) / dx`` 在 *dx* 趨近於零時的極限值。"
1123
1131
1124
1132
#: ../../library/statistics.rst:813
1125
1133
msgid ""
@@ -1128,6 +1136,8 @@ msgid ""
1128
1136
"\" density\" ). Since the likelihood is relative to other points, its value "
1129
1137
"can be greater than ``1.0``."
1130
1138
msgstr ""
1139
+ "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"
1140
+ "得。由於概度是相對於其它點,故其值可大於 ``1.0``。"
1131
1141
1132
1142
#: ../../library/statistics.rst:820
1133
1143
msgid ""
@@ -1136,6 +1146,9 @@ msgid ""
1136
1146
"random variable *X* will be less than or equal to *x*. Mathematically, it "
1137
1147
"is written ``P(X <= x)``."
1138
1148
msgstr ""
1149
+ "利用\\ `累積分布函式 (cumulative distribution function, cdf) <https://en."
1150
+ "wikipedia.org/wiki/Cumulative_distribution_function>`_ 計算隨機變數 *X* 小於"
1151
+ "或等於 *x* 的機率。數學上,它記為 ``P(X <= x)``。"
1139
1152
1140
1153
#: ../../library/statistics.rst:827
1141
1154
msgid ""
@@ -1145,33 +1158,46 @@ msgid ""
1145
1158
"statisticshowto.datasciencecentral.com/inverse-distribution-function/>`_ "
1146
1159
"function. Mathematically, it is written ``x : P(X <= x) = p``."
1147
1160
msgstr ""
1161
+ "計算反累計分布函式 (inverse cumulative distribution function),也稱為\\ `分位"
1162
+ "數函式 (quantile function) <https://en.wikipedia.org/wiki/"
1163
+ "Quantile_function>`_ 或者\\ `百分率點 (percent-point) <https://web.archive."
1164
+ "org/web/20190203145224/https://www.statisticshowto.datasciencecentral.com/"
1165
+ "inverse-distribution-function/>`_ 函式。數學上記為 ``x : P(X <= x) = p``。"
1148
1166
1149
1167
#: ../../library/statistics.rst:833
1150
1168
msgid ""
1151
1169
"Finds the value *x* of the random variable *X* such that the probability of "
1152
1170
"the variable being less than or equal to that value equals the given "
1153
1171
"probability *p*."
1154
1172
msgstr ""
1173
+ "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*。"
1155
1174
1156
1175
#: ../../library/statistics.rst:839
1157
1176
msgid ""
1158
1177
"Measures the agreement between two normal probability distributions. Returns "
1159
1178
"a value between 0.0 and 1.0 giving `the overlapping area for the two "
1160
1179
"probability density functions <https://www.rasch.org/rmt/rmt101r.htm>`_."
1161
1180
msgstr ""
1181
+ "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"
1182
+ "密度函式的重疊區域 <https://www.rasch.org/rmt/rmt101r.htm>`_。"
1162
1183
1163
1184
#: ../../library/statistics.rst:846
1164
1185
msgid ""
1165
1186
"Divide the normal distribution into *n* continuous intervals with equal "
1166
1187
"probability. Returns a list of (n - 1) cut points separating the intervals."
1167
1188
msgstr ""
1189
+ "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"
1190
+ "割區間的分隔點。"
1168
1191
1169
1192
#: ../../library/statistics.rst:850
1170
1193
msgid ""
1171
1194
"Set *n* to 4 for quartiles (the default). Set *n* to 10 for deciles. Set "
1172
1195
"*n* to 100 for percentiles which gives the 99 cuts points that separate the "
1173
1196
"normal distribution into 100 equal sized groups."
1174
1197
msgstr ""
1198
+ "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 "
1199
+ "*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"
1200
+ "群組。"
1175
1201
1176
1202
#: ../../library/statistics.rst:856
1177
1203
msgid ""
@@ -1180,13 +1206,18 @@ msgid ""
1180
1206
"deviations above or below the mean of the normal distribution: ``(x - "
1181
1207
"mean) / stdev``."
1182
1208
msgstr ""
1209
+ "計算\\ `標準分數 (Standard Score) <https://www.statisticshowto.com/"
1210
+ "probability-and-statistics/z-score/>`_,用以描述在常態分布中,*x* 高出或低於"
1211
+ "平均數幾個標準差:``(x - mean) / stdev``。"
1183
1212
1184
1213
#: ../../library/statistics.rst:864
1185
1214
msgid ""
1186
1215
"Instances of :class:`NormalDist` support addition, subtraction, "
1187
1216
"multiplication and division by a constant. These operations are used for "
1188
1217
"translation and scaling. For example:"
1189
1218
msgstr ""
1219
+ ":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"
1220
+ "移與縮放。例如:"
1190
1221
1191
1222
#: ../../library/statistics.rst:874
1192
1223
msgid ""
@@ -1205,11 +1236,11 @@ msgstr ""
1205
1236
1206
1237
#: ../../library/statistics.rst:897
1207
1238
msgid ":class:`NormalDist` Examples and Recipes"
1208
- msgstr ""
1239
+ msgstr ":class:`NormalDist` 範例與錦囊妙計 "
1209
1240
1210
1241
#: ../../library/statistics.rst:899
1211
1242
msgid ":class:`NormalDist` readily solves classic probability problems."
1212
- msgstr ""
1243
+ msgstr ":class:`NormalDist` 可以輕易地解決經典的機率問題。 "
1213
1244
1214
1245
#: ../../library/statistics.rst:901
1215
1246
msgid ""
@@ -1225,6 +1256,8 @@ msgid ""
1225
1256
"Find the `quartiles <https://en.wikipedia.org/wiki/Quartile>`_ and `deciles "
1226
1257
"<https://en.wikipedia.org/wiki/Decile>`_ for the SAT scores:"
1227
1258
msgstr ""
1259
+ "找出 SAT 分數的\\ `四分位數 <https://en.wikipedia.org/wiki/Quartile>`_\\ 以及"
1260
+ "\\ `十分位數 <https://en.wikipedia.org/wiki/Decile>`_:"
1228
1261
1229
1262
#: ../../library/statistics.rst:924
1230
1263
msgid ""
0 commit comments