Undercover Economist: Enlightened research, fuelled by the dark stuff
啤酒的可信度


生产高品质啤酒,需要对啤酒花和大麦抽样测试,但实验费用昂贵。多少次实验才能确信试验结果?

Faced with an apparent pattern in any data, a key question is always: “Does this pattern represent something real, or is it just chance?” The simplest example: if I measure the heights of five men and five women and discover that the men tend to be taller than the women, I might be on to something, or I might just have some tall men and some short women in my sample. Based on this small sample, how confident should I be that men are in general taller than women?

面对任何数据中一种明显的模式,一个关键问题始终是:“这种模式具有某种真实的意义,还是仅仅是偶然?”举个最简单的例子:如果我测量五男五女的身高,结果发现男人通常比女人高一些,那么我可能是发现了某种规律,也可能只是我的样本中选取了一些高个男性和矮个女性。基于这种比较小的样本,我是否应该确信男性一般都长得比女性高呢?

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