{"attempt":1,"datasets":{"d":{"description_shown":"NIST StRD SmLs01: 189 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":"29d9c979d46d845ed72c0fb0ed79083c8313833bbcf72040326640d87e2e40e4","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 SmLs01: generated data with 1 constant leading digits; one factor (treatment) with 9 levels and 189 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":"74a4d1376f58e6dd2529c7360cbdc6329791760fcf798803a4c4f09475832539","run_id":"20261015T171234Z-suite-nist_anova-baseline-71784e","seq":0,"skills":[],"task_id":"nist_anova.smls01.agent","task_sha256":"cc13a44eaad0340e25eb9e4fddfe6a6f14acfb4fe6464d3ef4b14b0cfa526c7c","timestamp":"2026-10-15T17:12:34.357367Z"}
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