Data audit (P1)
| file | sha256 | rows | cols |
|---|---|---|---|
| data/design.csv | 2f459c539378cbe54d830c18af466f2fa4230ce48a609aa6464f8334a0d36ecb (matches bundle.json) | 7 | 3 (parameter, value, description) |
Parameters: n=30, rho=0.8, sigma=1.0, intercept=yes, initial_condition=stationary (y_1 ~ N(0, sigma^2/(1-rho^2))), n_replications=20000, seed=20261029. No missing values, no duplicated parameters, no dates (simulation design only). Units: dimensionless. Anomalies: none. |rho|<1 so the stationary distribution exists. Note (not an error): the regression uses n-1=29 observations (t=2..n); the formula is evaluated at n=30 as the task specifies, with n-1 reported as sensitivity. Information-availability: only input is design.csv; no violations.