{"attempt":1,"datasets":{"d":{"description_shown":"NIST StRD SmLs05: 1809 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":"8894da0165059fb0cf2d377d6d087f10c2842b50cf1b47e737cc64ec14253d11","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 SmLs05: generated data with 7 constant leading digits; one factor (treatment) with 9 levels and 1809 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":"853b39c36e1ba71b0f9c69096efe8c9500e478be678b2a62987ee899412e9547","run_id":"20261015T171234Z-suite-nist_anova-baseline-71784e","seq":0,"skills":[],"task_id":"nist_anova.smls05.agent","task_sha256":"489ba239e0a7036f013fd4f0b25b873bb91c5b8d87e0bde8261cc309d02f6bd1","timestamp":"2026-10-15T17:12:34.543701Z"}
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