An elevator-fault predictor is highly confident on a rare hydraulic sound and still wrong. The board wants a number they can defend. What should the tester point to?
Select an answer to reveal the explanation.
Short Explanation
Highly confident and still wrong on a rare hydraulic sound is why the board needs statistical tools: intervals, hypothesis tests, and error analysis that quantify accuracy, fairness, and robustness. One anecdote is not a number they can defend.
Full Explanation
Statistical testing handles confident-but-wrong outputs and quantifies uncertainty and bias. A single anecdote, an attack payload, and an engineering retrain are not that defense.