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--- percentile [2024/03/10 16:52] – 李佳熠2
+++ percentile [2024/03/12 07:29] (当前版本) – hant_g._cavendish
@@ 行 1: / 行 1: @@
-====== 百分位数、百分位等级、插值法 ======
+====== 百分位数、百分位等级、插值法 (Percentile, percentile rank and interpolation)======
-**Percentile, Percentile Rank, Interpolation**
-----
-===== 百分位数、百分位等级 =====
-**1.百分位等级 (//percentile rank//) ((APA Dictionary: Percentile, the location of a score in a distribution expressed as the percentage of cases in the data set with scores equal to or below the score in question. Thus, if a score is said to be in the 90th percentile this means that 90% of the scores in the distribution are equal to or lower than that score. Also called percentile rank.))((《心理学名词》（第二版）：百分位数，指在整个分布中，某一值之下或等于该值的分数的百分比所对应的分数。百分等级，指在频率分布或分数群中低于给定值的那个分数的百分位数。与给定值对应。))**某一分布中,分数(score)在某一值**之下或等于**该值的个体所占的百分比。
-  * In a distribution, the percentage of individuals whose scores are **below or equal** to a certain value.
-**2.百分位数 (//percentile//) ：**恰取这一值的分数称为这一百分位等级的百分位数。
+===== 百分位数、百分位等级 (Percentile and percentile rank) =====
-  * The score that takes exactly this value is called the percentile of this percentile rank.
-**3.例子：**有58%的同学分数为7分或在7分下，则分数X=7的百分位等级为58%，这个分数就是第58个百分位数。
+==== 百分位等级 (Percentile rank) ====
-  * For example, if 58% of the students have a score of 7 or below, the percentile rank of X=7 is 58%, so the x=7 is the 58th percentile.
-**4.注意事项：**在某一个案例中，分数有1-5分，对于分数4, 算得其对应的累积百分比是 95%；但注意，分数4意味着一个人得分在3.5和4.5之间，第95百分位数是4.5，而不是 4.0。
+某一分布中,分数 (score) 在某一值**之下或等于**该值的个体所占的百分比。((《心理学名词》（第二版）：百分位数，指在整个分布中，某一值之下或等于该值的分数的百分比所对应的分数。百分等级，指在频率分布或分数群中低于给定值的那个分数的百分位数。与给定值对应。))\\
-  * In one case, the score is 1-5, and for a score of 4, the corresponding cumulative percentage is 95%; but note that a score of 4 means that a person scores between 3.5 and 4.5, and the 95th percentile is 4.5, not 4.0.
+In a distribution, the percentage of individuals whose scores are **below or equal** to a certain value. ((APA Dictionary: Percentile, the location of a score in a distribution expressed as the percentage of cases in the data set with scores equal to or below the score in question. Thus, if a score is said to be in the 90th percentile this means that 90% of the scores in the distribution are equal to or lower than that score. Also called percentile rank.))
-----
+====百分位数 (Percentile) ====
-===== 插值法 =====
-**1.插值法 （//Interpolation//）：**一种求解两个数值之间某位置数值的方法。\\
-插值法的假设是在所求解点的附近1个组距单位区间之内的分数和对应的百分比的变化是线性的。
-**1.Interpolation: **A method to calculate the value of a certain number between two numbers.\\
+恰取这一值的分数称为这一百分位等级的百分位数。\\
-The hypothesis of interpolation is that, the change in scores and percentages within a unit interval of 1 group distance around the solved point is linear.
+The score that takes exactly this value is called the percentile of this percentile rank.
-**2.插值法步骤：**\\
+==== 例子 (Example) ====
-假设要求的数值如图所示
+有 58% 的同学分数为 7 分或在 7 分下，则分数 X=7 的百分位等级为 58% ，这个分数就是第 58 个百分位数。\\
+If 58% of the students have a score of 7 or below, the percentile rank of X=7 is 58% , so the X=7 is the 58th percentile.
+==== 注意事项 (Notes) ====
+在某一个案例中，分数有 1 - 5 分，对于分数 4 , 算得其对应的累积百分比是 95% ；但注意，分数 4 意味着一个人得分在 3.5 和 4.5 之间，第 95 百分位数是 4.5 ，而不是 4.0 。\\
+In one case, the score is 1 - 5 , and for a score of 4 , the corresponding cumulative percentage is 95% ; but note that a score of 4 means that a person scores between 3.5 and 4.5 , and the 95th percentile is 4.5 , not 4.0 .
+----
+===== 插值法 (Interpolation) =====
-**2.The steps of interpolation:**\\
+插值法是一种求解两个数值之间某位置数值的方法，其假设是在所求解点的附近1个组距单位区间之内的分数和对应的百分比的变化是线性的。\\
-Suppose the value to be solved is shown as follows:
+Interpolation is a method to calculate the value of a certain number between two numbers. The hypothesis of interpolation is that, the change in scores and percentages within a unit interval of 1 group distance around the solved point is linear.
-{{:插值法图.png?400|}}
+==== 插值法步骤 (The steps of interpolation) ====
-（1）找到距求解点最近的两个区间（较远的区间不满足分数和对应的百分比线性变化的假设）
+假设要求的数值如图所示：\\
+Suppose the value to be solved is shown as follows:
-(1)Find the 2 nearest intervals to the value to be solves(Further intervals do not requires the hypothesis of scores and percentages changing linearly)
+{{ :第二章:2.5:插值法1.svg |}}
-（2）根据数据列出数据：\\
+. 找到距求解点最近的两个区间（较远的区间不满足分数和对应的百分比线性变化的假设）。\\
+Find the 2 nearest intervals to the value to be solves (Further intervals do not requires the hypothesis of scores and percentages changing linearly).
-(2)List out by the known data:\\
+. 根据数据列出方程：\\
-{{:插值法图二.png?400|}}
+Make an equation based on the data:
-（3）由等式求得x=56
+{{ :第二章:2.5:插值法2.svg |}}
-(3)Calculate the equation, and get the result of x=56.
+. 由等式求得结果 {{:第二章:2.5:x56.svg}}。\\
+Calculate the equation, and get the result of {{:第二章:2.5:x56.svg}}.