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A QA080 168 LJfdCLASS IFIEDSEORSE WASHINGTON UNIV WAS HINTON 0 C PROGRAM IN LOGE TC FI1 15/S USING MULTI VARIATE STATISTICAL ANALYSIS TO OBTAIN READINESS EVA ETC(U) NOV 79 Z 3ARZILY. W H MAR LOW,
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Multivariate statistical analysis is a set of statistical techniques used to analyze data that involve multiple variables to understand relationships, patterns, and structures within the data.
Individuals or organizations that conduct studies involving multiple variables, particularly in fields like social sciences, marketing, and health research, may be required to file reports using multivariate statistical analysis.
Filling out forms using multivariate statistical analysis involves collecting data across multiple variables, organizing the data in a suitable format, applying the appropriate statistical methods, and then interpreting and reporting the results.
The purpose is to understand complex datasets by examining the influence of multiple variables simultaneously, which helps in making informed decisions and discovering underlying patterns.
Reports typically include descriptive statistics, correlation matrices, regression results, significance tests, and visualizations of data relationships.
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