老师 LN(117.94/100) =0.165, 这里为啥要除100

老师这道题为什么和官网不一样，官网是：A quantitative analyst at a proprietary trading firm is incorporating unsupervised machine learning (ML) algorithms into the firm’s technical analysis of equities by using K-means clustering. The clustering algorithm will be applied to continuous volatility data in order to group observations into clusters that can be used to identify the current market regime. Since clusters close to each other are likely to exhibit similar characteristics, the analyst measures the distances between the observations within each cluster and the centroid of that cluster. If the analyst wants to ensure that the minimum distance is obtained for the continuous data clusters when applying the K-means algorithm, which measure should be used to achieve the desired outcome? A.Euclidean distance B.Manhattan distance C.Cook’s distance D.Gini measure麻烦解答一下

老师可以举一个计算kurtosis的例子吗，想看一下计算过程，就是用这个公式怎么计算

这老师为啥还边给别的学生互动变讲课，花钱买这个课能不能搞的专业点啊？

什么时候左偏什么时候右偏呢

老师对于假设检验中的单边于双边分布该怎么去判断呢

risk transfer 和risk reduction 的差别

收益越高，风险越高么？我选的是不确定，可能有点较真

pearson相关的知识点不记得了，麻烦老师讲讲

减收益，加收益是为什么？