Applications of Statistically Defensible Test and Evaluation Methods to Aircraft Performance Flight Testing to aircraft performance flight testing. The statistical methods used in the analyses were multi-variable r

Abstract : This presentation summarizes seven case studies that illustrate applications of various statistical methods to aircraft performance flight testing. The statistical methods used in the analyses were multi-variable regression analysis, hypothesis testing, and uncertainty analysis. The cases presented were: 1) endurance performance requirement verification, 2) comparison of aerodynamic models, 3) flight test-developed thrust model, 4) climb performance specification compliance, 5) uncertainty analysis of pacer aircraft, 6) evaluation of updated control law, and 7) atmospheric survey for air data calibration. The case studies showed how statistical methods were used to calculate confidence intervals or uncertainty for the final results, detect differences between two aircraft systems with statistical confidence, and reduce the complexity or difficulty of data analysis.