Analysis of the statistical data generated during the flight test enhances the understanding of airplane stability and control factors by ascertaining the amount of variability and uncertainty in an aircraft with precision. Through a thorough examination of relationships and trends in the data, it provides insights regarding anomalies and trends that influence the aircraft's control and stability. This method aids in developing an improved understanding of aircraft conduct under varying flying conditions, improving the authenticity of flight simulation and control mechanism designs. Besides, this exercise helps refine dynamic feedback projections and aerodynamic drag figures, which can improve the airplane's performance and security across diverse scenarios. The use of statistical data in a flight test analysis significantly improves the precise understanding of aircraft stability and control factors by quantifying the variability and uncertainty that characterize this real-world data. The study examines data to find patterns and links among variables, thus aiding in recognizing anomalies that may impact the aircraft's stability and control. This method facilitates a more dependable understanding of how an aircraft behaves in different flying circumstances, which aids in the design of control systems and the improvement of flight simulation. It also supports the enhancement of predictive models for aerodynamic forces and the evaluation of aircraft behavior. Experimental results are necessary as a complement to the theoretical approach. Flight and wind tunnel tests, as well as aircraft performance measurements, have been conducted. Flight tests are the most challenging because the entire aircraft has to perform in an outdoor environment with diverse conditions. These are all valuable methods for researching airplane dynamics and contribute to the effortlessly more practical results that may be implemented in future airplane development.

It would be nice to see the paper and methods used. OIT data, right?