与单元素的概率格纸图解法相似，利用Ｘ２分布可直观地识别多元离群样品和进行多重总体分布。在研究多元地球化学异常时，首先运用Ｘ２分布图确定正常总体，然后确定多元正常总体的平均值向量、斜方差矩阵和马氏距离的背景上限值，最后利用这些正常总体的参数计算全域的马氏距离并圈定多元地球化学异常。 Similar to the single-element probability grid graph method, the X2 distribution can be used to visually identify multivariate outliers and perform multiple population distributions. In the study of multivariate geochemical anomalies, we first use the X2 distribution chart to determine the normal population, and then determine the background vector of the average normal vector, the skewness matrix and the Mahalanobis distance of the multivariate normal population. Finally, we use these normal population parameters to calculate the global Mahalanobis distances and delineates multiple geochemical anomalies.