Our mean is p, the probability of success.

我们的平均值是 p，成功的概率。

But I will be frank with you; the probabilities of success are slight.

但我会跟你坦白； 成功的可能性很小。

The probability of success in this example was 0.6, probability of failure was 0.4.

此示例中成功的概率为 0.6，失败的概率为 0.4。

And we know that our variance is essentially the probability of success times the probability of failure.

我们知道我们的方差本质上是成功概率乘以失败概率。

Choose k, and you know, I have 3 cars times the probability of success.

选择 k，你知道，我有 3 辆车乘以成功的概率。

So our probability of success is lambda times n.

所以我们成功的概率是 lambda 乘以 n。

Where n is the number of trials and p is the probability of success on each trial.

其中 n 是试验次数，p 是每次试验成功的概率。

Well, it's 1 minus the probability of success.

好吧，它是 1 减去成功的概率。

If we just know that the probability of success is p and the probability a failure is 1 minus p.

如果我们只知道成功的概率是 p，失败的概率是 1 减去 p。

So just finishing up with our binomial distribution, n moments, choose k successes times the probability of success.

因此，只需完成我们的二项式分布，n 个时刻，选择 k 次成功乘以成功概率。

And this would be the probability of success in that smaller interval.

这就是在那个较小的时间间隔内成功的概率。

So this would be the number of coin tosses, times the probability of success over each toss.

所以这就是抛硬币的次数乘以每次抛硬币成功的概率。

So let's say the probability of success is equal to 30%.

所以假设成功的概率等于 30%。

I mean, are you looking for certain kinds of companies you want to invest in other than those that have a very good business model and probability of success?

我意思是你们投资于那些你们想投资的企业而不是那些商业模式好而且成功潜力大的公司，是吗？

And they said, oh, let's make this per second and this is the probability of success per second.

他们说，哦，让我们每秒做这个，这是每秒成功的概率。

It's the number of tosses, the number of trials times the probabilities of success of any trial.

它是投掷次数，即试验次数乘以任何试验成功的概率。

We said, oh, well, what if we make this interval a minute and this is the probability of success per minute?

我们说， 哦， 好吧，如果我们把这个间隔设为一分钟， 这是每分钟成功的概率呢？

So if this is a binomial distribution then this lambda would be equal to the number of trials times the probability of success per trial.

因此，如果这是一个二项分布，那么这个 lambda 将等于试验次数乘以每次试验成功的概率。

But this is just the limit as you take smaller and smaller and smaller intervals, and the probability of success in each interval becomes smaller.

但这只是极限，因为您采用的间隔越来越小，并且每个间隔的成功概率变得越来越小。

In the next video I'll do these with just general numbers where this is going to be p, where this is the probability of success and this is 1 minus p, which is the probability of failure.

在下一个视频中， 我将只用一般数字来做这些，其中 p 是成功的概率， 1 减去 p 是失败的概率。