Application Of Computational Methods In Multivariate Statistics
With the greatly increased availability of high speed computers and multivariate software, it seems easy to find whatever you wish to find in any data using various multivariate fishing trips. However, because of lack of information, it is not easy to interpret the output of multivariate software packages. We have used a multivariate dataset to carry out multivariate analysis to assist in various fields using multivariate logistics. As a result, we have created a basis for users to interpret multivariate statistics using multivariate software packages. We hope to create more critical thinking in users of multivariate research. This will help eliminate misinformation due to lack of knowledge and lead to more significant results relating to multivariate statistics.