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。
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。
In the case of Burt Malkiel's data, more than 11% per year and in the case of Roger Ibbotson's data between 7% and 8% per year of those returns can be explained either by backfill bias or survivorship bias.
在伯特·麦基尔的数据中,超过11%的年平均收益,在罗杰·伊博森的数据中,7%到8%的年平均收益,可以用生存偏差或回填偏差来解释
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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