# Data audit (P1)

• File: data/design.csv; SHA-256 2f459c539378cbe54d830c18af466f2fa4230ce48a609aa6464f8334a0d36ecb (matches bundle.json)
• 7 rows x 3 columns (parameter, value, description); no missing values; no duplicate parameters.
• Values: n=30 (series length y_1..y_n; regression uses 29 pairs), rho=0.8 (|rho|<1, stationary), sigma=1.0, intercept=yes, initial_condition=stationary (y_1 ~ N(0, sigma^2/(1-rho^2))), n_replications=20000, seed=20261029.
• No dates/units (dimensionless simulation design). No information-availability violations: the file is the only allowed input.
• Anomaly/ambiguity: "n" in -(1+3rho)/n could mean series length (30) or number of regression pairs (29). Decision: use n=30 as the design value (task says "at the design values"); report n-1 version as a supplementary sensitivity.
• Exclusions: none (see out/exclusions.csv). n_analysed = 20000 replications.