Block 9 — Statistical Test Planning for the F-47 ANS

Block 9 — Statistical Test Planning for the F-47 ANS#

Block 09~30 minno demos

The math underpinning the project: correlation time and effective sample size, the 95th-percentile ECDF for accuracy requirements, drift-slope confidence intervals, peak-and-snapback inference of detection time, and the 27/30 compliance rule.

What you’ll learn#

  1. Explain why correlated time-series data require effective sample size \(N_{\text{eff}}\), not the raw sample count \(N\).

  2. Estimate \(T_{\text{corr}}\) from an autocorrelation function and apply the 10% rule of thumb.

  3. Derive \(N_{\text{eff}}\) from first principles and plan a statistically defensible test duration.

  4. Apply the 95th-percentile ECDF for accuracy requirements (rather than a CI on the mean).

  5. Estimate inertial drift rate with a 95% confidence interval on the slope.

  6. Infer fault detection time from navigation-error behavior when no internal fault flag is available.

In this block#