SE 很好,因为误差看着小,但是需要有重复实验才能用:3>=只老鼠一次实验,三个以上实验会产生三个以上均值mean,这几个均值求出的误差,就是SE = sd / sqrt(n)
标准误(Standard Error of Mean,SE),也有缩写为SEM,看英文单词就是mean的error,先要有一堆mean,才能算它们的标准差。
结论
~如果你想要描述数据mean±… 这个后面的值应该是SD~
~如果你想要对比结果的差异:用mean±95%CI=mean±2SE~
Of course, if you do decide to show SD error bars, be sure to say so in the figure legend so no one will think it is a SEM.
Ref
- https://blog.youkuaiyun.com/weixin_42462804/article/details/101345311
- https://blog.youkuaiyun.com/weixin_43465015/article/details/105524728
- https://stats.stackexchange.com/questions/310875/is-it-better-to-use-use-the-standard-deviation-sd-or-standard-error-se-when