如何将两个指标与它们的平均值和标准偏差进行比较？
当我发现指标根据其平均值和标准偏差比较时，我正在阅读论文中显示的指标。 +意味着更好， - 意味着更糟，〜表示它们彼此亲近。
对于上述指标，想要一个较小的值。结果，很明显，如果平均值和标准偏差都比其他偏差小，则指标的值更好。
但是，我想知道，如果两个数据的平均值彼此接近，但是标准偏差有所不同，那么某人如何比较哪个更好，或者这两个指标彼此接近？
例如，0.0550±> 0.0024和0.0422±0.0010，根据论文的结果是〜。另一个示例是4.1128±3.4048和2.6551±1.1333，比较的结果也是〜。
但是，我没有任何线索可以充分理解如何比较这两个指标。
I was reading the indicators shown in papers when I found the indicators are compared based on their mean value and standard deviation. + means better, - means worse, and ~ means they are close to each other.
A smaller value is wanted for the indicators mentioned above. As a result, it is clear that if the mean value and the standard deviation are both smaller than others, the value of indicator is better.
However, I wonder that if the mean values of two data are close to each other, but standard deviation differs, how could someone compare which one is better, or these two indicators are close to each other?
For example, 0.0550±0.0024 and 0.0422±0.0010, and the result is ~ according to the paper. Another example is 4.1128±3.4048 and 2.6551±1.1333, the result of comparison is also ~.
However, there's no clue for me to fully understand how to compare these two indicators.
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