{"attempt":1,"datasets":{"d":{"description_shown":"NIST StRD SmLs09: 18009 observations; treatment = the treatment level (1 to 9), response = the response, treatment_2 \u2026 treatment_9 = 1 when the row is at that treatment level (level 1 is the reference)","file_sha256":"aa610b390c8d947ec258e32df0f43467fcb1820f47c5ce25a993ae1d9c715ae7","frame_sha256":null,"role":"agent","transforms":[{"args":{"column":"treatment","drop_first":true,"prefix":"treatment"},"op":"dummies"}]}},"epoch":1,"event":"sample_init","question":"NIST Statistical Reference Datasets, one-way analysis of variance, problem SmLs09: generated data with 13 constant leading digits; one factor (treatment) with 9 levels and 18009 observations in a balanced design, model y_ij = mu + tau_i + e_ij. Dataset d holds the factor treatment (levels 1 to 9), the response response, and indicator columns treatment_2 to treatment_9 (1 when the row is at that level; level 1 is the reference). Compute the ANOVA F statistic for the hypothesis that all 9 treatment effects are equal: the between-treatment mean square divided by the within-treatment mean square.","question_sha256":"63974a2d722cec0152a91dca391451ef2f69256f7066ce07b3fbf0cd4ac2416f","run_id":"20261015T171234Z-suite-nist_anova-baseline-71784e","seq":0,"skills":[],"task_id":"nist_anova.smls09.agent","task_sha256":"8d0e4ac5cae52a8b0f87d3233686a4b3df51b1b1c5f32f9f9297a45a659c1c58","timestamp":"2026-10-15T17:12:34.660001Z"}
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