{"attempt":1,"datasets":{"d":{"description_shown":"NIST StRD SmLs08: 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":"aabc5043423a82786b79fca02b04f8f31f9bcfef25683f15a67edcf359c84d18","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 SmLs08: generated data with 13 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":"1b23b43142f832542b08e7d667d70814a7133309c2ecd61e296c36f17abc73dc","run_id":"20261015T171234Z-suite-nist_anova-baseline-71784e","seq":0,"skills":[],"task_id":"nist_anova.smls08.agent","task_sha256":"0329712a83b4d16bca85f7f4c3b69dbe3c3ea6fac0139c2445468a9e09426b8e","timestamp":"2026-10-15T17:12:34.615249Z"}
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