{"attempt":1,"datasets":{"d":{"description_shown":"NIST StRD SmLs04: 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":"7c8f87a60245f5c7467418a7725855cce71608273964966e5da954c22ad5fa57","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 SmLs04: generated data with 7 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":"4fbfbcc14562f7ab5b50799b0839444c23b10e7fe228c393c0b2b389d5ceaeb5","run_id":"20261015T171234Z-suite-nist_anova-baseline-71784e","seq":0,"skills":[],"task_id":"nist_anova.smls04.agent","task_sha256":"28a7c71067611a94f501abd14320ec0b79adb884ed6a4e4ad5ef0a0cca1053f6","timestamp":"2026-10-15T17:12:34.524451Z"}
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