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- | 比较 | + | ====== 三种差异量数的比较 |
+ | |||
+ | 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。\\ | ||
+ | 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。\\ | ||
+ | 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。\\ | ||
+ | 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 (Pros and cons of measures of variability) ====== | ||
+ | ^ ^ 优点 (Pros) | ||
+ | | 全距 (Range) | ||
+ | | 四分差 (Interquartile range) | ||
+ | | 标准差 (Standard deviation) | ||
+ | |||
+ | ^ ^ 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.1678028920.txt.gz · 最后更改: 2023/03/05 15:08 由 空白不灭