He The U.S.troops are also working with Haitian authorities to re-establish normal production and distribution of water, fuel and other key supplies.
VOA: standard.2010.01.19
This is called the normal distribution or the Gaussian distribution-- it's a continuous distribution.
这就是正态分布,也叫做高斯分布,这是一个连续分布
So, let's go ahead and think about drawing what that would look like in terms of the radial probability distribution.
让我们来想一想如果把它的,径向概率分布画出来是怎么样的。
General Keen says U.S.troops are working to assume more responsibility for aid distribution, which will allow U.N.peacekeepers in Haiti to focus on security concerns.
VOA: standard.2010.01.18
Aristotle's distinction seems to be not only empirical again based on the factual distribution of powers.
亚里士多德的区别似乎,不只是根据经验的,或说,根据事实的权力分配。
But just to make it concrete and to see what's at stake, consider the distribution of wealth in the United States.
但为了更形象,看看问题何在,以美国的财富分配状况为例。
So it's generally called distribution code and whereas for the previous problems that you pretty much started from scratch, blank files you opened up nano and there was nothing there unless you put it there.
它一般被称作分布码,然而,对于之前几乎要从头做起的问题,在空白文件中什么都没有,除非你在里面写入些东西。
If you follow through from the independent theory, there's one of the basic relations in probability theory-- it's called the binomial distribution.
如果继续往下看,在概率论里有一个基本的概念,叫做二项分布
Let me quickly mention there's a fairly typical grade distribution for the overall grades of this, at the end of the semester.
让我快速说说公平的评分分布,对于这整个分数,在学期结束时。
There's a distribution of how it would move.
它的改变是有概率分布的。
It's this inequitable distribution of growth.
都是经济快速增长,却分配不均的原因。
This is the radial probability distribution formula for an s orbital, which is, of course, dealing with something that's spherically symmetrical.
这个s轨道的,径向概率分布公式,它对于球对称,的情形成立。
But still, when we're talking about the radial probability distribution, what we actually want to think about is what's the probability of finding the electron in that shell?
但当我们讲到径向概率分布时,我们想做的是考虑,在某一个壳层里,找到电子的概率,就把它想成是蛋壳?
You can't know just by looking at a pattern or a distribution or result whether it's just or unjust.
你不能仅凭分配格局,或分配结果,来判断其是否公平。
So if we superimpose our radial probability distribution onto the Bohr radius, we see it's much more complicated than just having a discreet radius.
为波尔半径,这其实比分立的轨道,要复杂很多,我们可以有任何的半径,但有些半径的概率。
So, basically what we're saying is if we take any shell that's at some distance away from the nucleus, we can think about what the probability is of finding an electron at that radius, and that's the definition we gave to the radial probability distribution.
本质上我们说的就是,如果我们在距离原子核,某处取一个壳层,我们可以考虑在这个半径处,发现电子的概率,这就是我们给出的,径向概率密度的定义。
I want to--another concept-- I guess I've just been implicit in what I have-- There's a distribution called the normal distribution and that is--I'm sure you've heard of this, right?
另一个概念...,刚才这些我都讲明白了吧...,有一个分布叫正态分布,大家有所耳闻吧
so when we think about what it is that this radial probability distribution is telling us, it's telling us that it is most likely that an electron in a 2 s orbital of hydrogen is six times further away from the nucleus than it is in a 1 s orbital.
我们来讨论一下这个径向概率分布,告诉了我们什么,它告诉我们,对于氢原子2s轨道的电子,最可能位置是1s轨道的6倍。
So, let's actually compare the radial probability distribution of p orbitals to what we've already looked at, which are s orbitals, and we'll find that we can get some information out of comparing these graphs.
让我们来比较一下p轨道,和我们看过的,s轨道的径向概率分布,我们发现我们可以通过,比较这些图得到一些信息。
So here, what I'd like you to do is identify the correct radial probability distribution plot for a 5 s orbital, and also make sure that it matches up with the right number of radial nodes that you would expect.
这里,你们要辨认,哪个是5s轨道的正确概率分布,并且确保它和你们,预期的节点数相符合。
The districts back in 1913 represented the population distribution of the U.S. at that time.
913年划分的区域代表着,当时美国人口的分布。
That's an incredibly tight distribution of returns.
这是个极其紧凑的收益分布
The answer is I can't. OK, in the simple case of integers I can, but in the case of something more complex like faces or fingerprints or passwords for that matter, it's hard to design a hash function that has completely even distribution, meaning that it takes any input into exactly one output spot.
答案是我不能,好吧,在简单的整数的例子中,我可以做到,但是在一些更复杂的场景中,比如面部,指纹,密码相关的问题中,很难设计一个哈希函数具备完全平均的分配,也就是说,做到对任一输入,可以准确地得到相应的唯一输出,因此在一个哈希问题中。
Well, the mean is always .2 no matter how many policies you write, so it's going to be--we're going to have a normal distribution centered on .2.
不论你签了多少份保单,均值永远是0.2,所以这就是一个关于x=0.2对称的,正态分布
If you wrote only one policy, what's the probability distribution of x/n?
如果你只签了一份保单,那么x/n的概率分布是怎样的?
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