MATLAB Code Implementation of Direct Method for Data Analysis with Comparative Techniques

In this article, we explore several common data analysis methodologies: Direct Method, Indirect Method, Bartlett's Test, and Welch's Test. The Direct Method involves immediate measurement and recording of raw data values, which can be implemented in MATLAB using straightforward data acquisition functions like readtable() or csvread() for direct input processing. Conversely, the Indirect Method derives data through computational transformations of primary measurements, often employing MATLAB's statistical functions such as mean(), std(), or custom calculations for derived metrics. Bartlett's Test serves as a homogeneity-of-variance validation technique, suitable for datasets with equal variances, and can be coded using MATLAB's vartestn() function with specific parameter configurations for group comparisons. Welch's Test also addresses variance homogeneity assessment but extends to datasets with unequal variances, implemented through MATLAB's ttest2() function with the 'VarType' parameter set to 'unequal' for robust statistical testing. By leveraging these distinct methodologies with appropriate code implementations, researchers can gain comprehensive data insights and enhance the accuracy of interpretations and predictive models.