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compare [2024/03/11 08:57] – limesty | compare [2024/03/11 12:57] (当前版本) – limesty | ||
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- | ====== 三种差异量数的比较 ( The differences of three measures of variability ) ====== | + | ====== 三种差异量数的比较 (The differences of three measures of variability) ====== |
- | 1.极端分数:全距受影响最大,四分位距受影响最小。 | + | 1. 极端分数:全距受影响最大,四分位距受影响最小。\\ |
- | | + | There are extreme scores in the data set: the full range is the most affected, and the quartile is the least affected. |
- | 2.样本大小:全距可能随n增加而增加,四分位距和标准差不会。 | + | 2. 样本大小:全距可能随n增加而增加,四分位距和标准差不会。\\ |
- | | + | Change the sample size: the full distance may increase with the increase of n, but the quartile distance and standard deviation will not. |
- | 3.样本选取:同一总体多次选取不同样本,全距没有稳定的值,但四分位距和标准差是稳定的。 | + | 3. 样本选取:同一总体多次选取不同样本,全距没有稳定的值,但四分位距和标准差是稳定的。\\ |
- | | + | Select different samples: the same population selects different samples many times, the full distance has no stable value, but the quartile distance and standard deviation are stable. |
- | 4.当存在不确定值的分布时,全距和标准差无法求得,四分位距可求。 | + | 4. 当存在不确定值的分布时,全距和标准差无法求得,四分位距可求。\\ |
- | | + | When there is a distribution of uncertain values, the full distance and standard deviation can not be obtained, and the quartile distance can be obtained. |
- | ====== 差异量数的优缺点 ====== | + | ====== 差异量数的优缺点 |
- | ^ ^ | + | ^ ^ 优点 |
- | | 全距 | + | | 全距 |
- | | 四分差 | + | | 四分差 |
- | | 标准差 | + | | 标准差 |
+ | |||
+ | ^ ^ Pros ^ Cons ^ | ||
+ | | Range | 1. Easy to Calculate | ||
+ | | Interquartile range | 1. Less susceptible to extreme values \\ 2. Suitable for data with uncertain values | ||
+ | | Standard deviation |
compare.1710147468.txt.gz · 最后更改: 2024/03/11 08:57 由 limesty