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7% 77% is class average and the standard deviation was 17% so you can see where things lie. 50% is a pass.
7是平均水平，标准偏差是%,这就是事情所在，50%就及格。
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And then I could also do a Gaussian one here, with the mean of and the standard deviation of volatility divided by 2.
然后我在这里再写一个高斯分布的函数，它的浮动值的平均值和,标准偏差值都除了2。
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One standard deviation happens one draw out of three, two standard deviations one out of twenty, three standard deviations is one out of one hundred.
落在一个标准偏差之外的概率是1/3,两个标准差之外的概率是1/20,三个标准差之外是百分之一
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It could be normal, everything, that would be a Gaussian, where if you recall there was a mean, and a standard deviation, and most values were going to be close to the mean.
可能是正态分布，也就是高斯分布，只要有平均值和标准偏差值，你就可以进行调用，大部分的值都是集中在平均值附近的。
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If there's a large standard deviation it would be spread.
如果标准偏差值很大,那么它就比较分散。
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Especially if there is a small standard deviation.
特别是当标准偏差值很小的情况。
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