所以他搞了一个随机码 a random code
这两个组是随机抽取的,所以他们在系统中的唯一区别就在是否接受治疗。
The two groups are chosen at random, so the remedy should be the only systematic difference between them.
而这些案例不是随机样本,所以那些数据无法反映现实,无论那些数据是否对我们有利。
They are not a random sample, so those numbers do not represent reality whether or not those numbers serve our interests.
需要为运行的每个测试创建新的位置,所以需要输入随机生成的名称来惟一标识每个位置。
We need to create a new place for every test we run, so we enter a randomly generated name to uniquely identify each place.
So first, I choose a volatility randomly, from some distribution of possible volatilities 2 from to, in this case, 0.2.
来决定的一个值,所以首先我先随机选择一个浮动值,从可能的浮动值中的分布进行选择,在这个例子中就是0。
We have instead what's called a probability density when we have continuous random variables.
所以我们用概率密度的概念来描述,连续型随机变量的情况
So we would model it as a random walk.
所以这里是按照随机漫步的模式进行建模。
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