And the plurality of solutions have discrete values associated with them.

那许多解法得出,离散的值。

麻省理工公开课 - 固态化学导论课程节选

There's also another variance measure, which we use in the sample-- There's also another variance measure, which is for the sample.

还有另一个离散指标,我们用以考察样本,这是另一个离散指标,用于考察样本

耶鲁公开课 - 金融市场课程节选

No, they are discrete. They are discrete.

不，它们是离散的，离散的。

麻省理工公开课 - 固态化学导论课程节选

But they're accountable and we can list all possible values when they're discrete and form a probability weighted average of the outcomes.

但随机变量是离散的话,我们可以把所有的可能值列出来,然后算出加权平均值

耶鲁公开课 - 金融市场课程节选

That's different when you have continuous values-- you don't have P because it's always zero.

和离散型随机变量的分布不同的是,连续型随机变量的分布中,某一点的概率值始终是零

耶鲁公开课 - 金融市场课程节选

Secondly, that those values are discrete.

其次，这是一些离散型数据。

麻省理工公开课 - 固态化学导论课程节选

We also need some measure of-- We've been talking here about measures of central tendency only and in finance we need, as well, measures of dispersion, which is how much something varies.

我们也需要其他的指标,目前为止,我们只讨论了集中趋势指标,在金融学中,我们同样需要,离散趋势指标以衡量参数的变化程度

耶鲁公开课 - 金融市场课程节选

So, that completes central tendency and dispersion.

这样我们就介绍完了集中趋势和离散趋势

耶鲁公开课 - 金融市场课程节选

You have discrete random variables, like the one I just defined, or there are also--which take on only a finite number of values-- and we have continuous random variables that can take on any number of values along a continuum.

就像刚定义的,是一个离散型随机变量,随机变量还可以有无限种取值,也就是连续型随机变量,随机变量可以取某一区间的一切值

耶鲁公开课 - 金融市场课程节选

n It takes discrete values, multiples of some integer n, and the multiplication factor is the ratio of the Planck constant divided by 2 pi where n takes one, two, three and so on.

这些离散的值乘以整数，乘积因子,是普朗克常数除以2π,其中n可以取1，2，3，等等。

麻省理工公开课 - 固态化学导论课程节选