The study looked at how normal random vectors behave in a special way called multivariate totally positive of order 2 (MTP2). They found that this property holds true for every part of the data. By connecting M-Matrix and covariance matrix, they showed that under the multivariate normal distribution, the covariance matrix has specific properties related to MTP2.