公式 序号
|
名称 |
公式 |
R 公式 |
2.3.1 |
使用 Sturges 规则的组距 |
 |
示例 |
2.4.1 |
总体均值 |
 |
示例 |
2.4.2 |
偏度 |
 |
示例 |
2.4.2 |
样本均值 |
 |
示例 |
2.5.1 |
极差 |
 |
示例 |
2.5.2 |
样本方差 |
 |
示例 |
2.5.3 |
总体方差 |
 |
示例 |
2.5.4 |
标准差 |
 |
示例 |
2.5.5 |
变异系数 |
 |
示例 |
2.5.6 |
有序数组中的四分位数位置 |
 |
示例 |
2.5.7 |
四分位距 |
 |
示例 |
2.5.8 |
峰度 |
 |
示例 |
符号表 |
= 变异系数
= 四分位距
= 类间距数量
= 总体平均值
= 总体大小
= 样本大小
= 自由度
= 第一四分位数
= 第二四分位数 = 中位数
= 第三四分位数
= 范围
= 标准差
= 样本方差
= 总体方差
= 数据观察
= 最大数据点
= 最小数据点
= 样本均值
= 类宽
|
示例 |