{"attempt":1,"datasets":{"d":{"description_shown":"NIST StRD SmLs07: 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":"42d492d7577ebe456fa9a204789ea8370c844f508aa3242a8e57c1976b133890","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 SmLs07: generated data with 13 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":"1453344fd34934e7a304f2b58cf1c1eb0880f4f15dbb8a20ec717f65b9b50c4a","run_id":"20261015T171234Z-suite-nist_anova-baseline-71784e","seq":0,"skills":[],"task_id":"nist_anova.smls07.agent","task_sha256":"6611c03621e9640927009e2e46b31cbd129d77bb642482646e1f4d5a7eb4b709","timestamp":"2026-10-15T17:12:34.589545Z"}
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