Assess ability to design and execute a corpus-based stylistic analysis pipeline to attribute disputed literary texts. Tasks include selecting and compiling representative corpora, preprocessing and normalization, choosing and justifying stylistic features (function words, character/word n-grams, POS and syntactic patterns, punctuation), applying appropriate statistical and machine-learning methods (e.g., PCA, clustering, classification with cross-validation), evaluating robustness and significance (accuracy, F1, bootstrapping, permutation tests), diagnosing confounds (genre, diachrony, editorial interventions, sample size), interpreting results and uncertainty, and articulating methodological limitations and ethical considerations when making attribution claims.