Tarefa nist_anova.smls08.tool

Veredito

Pergunta feita ao analista

Tarefa de ferramenta: nenhuma pergunta; a especificação de referência é chamada direto.

Valores esperados e de onde vêm

Verificações

Caminho de referência e caminho do agente

A chamada de referência ao lado da chamada que deu a resposta, argumento por argumento.

Trajetória

Cada evento na ordem em que aconteceu: turnos do modelo, chamadas de ferramentas, guardas, transformações e pontuação.

1. 0Início

   Tarefa de ferramenta: nenhuma pergunta; a especificação de referência é chamada direto.

   d (agent)

   NIST StRD SmLs08: 1809 observations; treatment = the treatment level (1 to 9), response = the response, treatment_2 … treatment_9 = 1 when the row is at that treatment level (level 1 is the reference)

   file aabc5043423a82786b79fca02b04f8f31f9bcfef25683f15a67edcf359c84d18 · frame —

   1. dummies {"column":"treatment","drop_first":true,"prefix":"treatment"}
2. 1Transformação
   d · dummies {"column":"treatment","drop_first":true,"prefix":"treatment"}

   1809 → 1809 linhas

   Frame antes → depois: 0f1bf3a4fd32 → 5bc097e5c744
3. 2Ferramenta
   infer.linear_hypothesisv0.1.0call_ea0b7ab1decidido pelo códigoreexecutável

   Argumentos

   {
     "cluster": null,
     "dataset": "d",
     "hypothesis": "treatment_2 = 0, treatment_3 = 0, treatment_4 = 0, treatment_5 = 0, treatment_6 = 0, treatment_7 = 0, treatment_8 = 0, treatment_9 = 0",
     "se": "classical",
     "subset": null,
     "x": [
       "treatment_2",
       "treatment_3",
       "treatment_4",
       "treatment_5",
       "treatment_6",
       "treatment_7",
       "treatment_8",
       "treatment_9"
     ],
     "y": "response"
   }

   Figuras call_ea0b7ab1

   Chave	Valor	Valor bruto	Erro-padrão	IC
   F F statistic of treatment_2 = 0; treatment_3 = 0; treatment_4 = 0; treatment_5 = 0; treatment_6 = 0; treatment_7 = 0; treatment_8 = 0; treatment_9 = 0	201,013	201.01300409603695	—	—
   p_value p-value of treatment_2 = 0; treatment_3 = 0; treatment_4 = 0; treatment_5 = 0; treatment_6 = 0; treatment_7 = 0; treatment_8 = 0; treatment_9 = 0	0,00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000392814 probability	3.9281407845069587e-243	—	—

   Diagnósticos

   • statistic = "F"
   • df_numerator = 88
   • df_denominator = 1.8001800
   • se_type = "classical"
   • n_obs = 1.8091809
   • n_clusters = —

   Tabelas (2)

   {
     "coefficients": [
       {
         "ci_high": 1000000000000.4138,
         "ci_low": 1000000000000.3862,
         "coef": 1000000000000.4,
         "p": 0,
         "se": 0.007053647823123248,
         "t": 141770616435116.44,
         "term": "Intercept"
       },
       {
         "ci_high": -0.08047180693824933,
         "ci_low": -0.11960082793498393,
         "coef": -0.10003631743661663,
         "p": 4.555344230865008e-23,
         "se": 0.009975364415664423,
         "t": -10.028337138193018,
         "term": "treatment_2"
       },
       {
         "ci_high": 0.11954009643572763,
         "ci_low": 0.08041107543899301,
         "coef": 0.09997558593736032,
         "p": 4.829159421524705e-23,
         "se": 0.00997536441566443,
         "t": 10.022248989757959,
         "term": "treatment_3"
       },
       {
         "ci_high": -0.08047180693753044,
         "ci_low": -0.11960082793426453,
         "coef": -0.10003631743589748,
         "p": 4.555344234008862e-23,
         "se": 0.009975364415664295,
         "t": -10.028337138121055,
         "term": "treatment_4"
       },
       {
         "ci_high": 0.11954009643613854,
         "ci_low": 0.08041107543940461,
         "coef": 0.09997558593777157,
         "p": 4.829159419608254e-23,
         "se": 0.009975364415664255,
         "t": 10.022248989799362,
         "term": "treatment_5"
       },
       {
         "ci_high": -0.08047180693827354,
         "ci_low": -0.11960082793500791,
         "coef": -0.10003631743664072,
         "p": 4.55534423075697e-23,
         "se": 0.009975364415664366,
         "t": -10.028337138195491,
         "term": "treatment_6"
       },
       {
         "ci_high": 0.1195400964361776,
         "ci_low": 0.08041107543944329,
         "coef": 0.09997558593781045,
         "p": 4.8291594194326224e-23,
         "se": 0.009975364415664356,
         "t": 10.022248989803156,
         "term": "treatment_7"
       },
       {
         "ci_high": -0.08047180693760535,
         "ci_low": -0.11960082793433953,
         "coef": -0.10003631743597244,
         "p": 4.555344233681723e-23,
         "se": 0.00997536441566432,
         "t": -10.028337138128544,
         "term": "treatment_8"
       },
       {
         "ci_high": 0.11954009643549968,
         "ci_low": 0.08041107543876558,
         "coef": 0.09997558593713263,
         "p": 4.829159422575047e-23,
         "se": 0.009975364415664297,
         "t": 10.022248989735267,
         "term": "treatment_9"
       }
     ],
     "restrictions": [
       {
         "estimate": -0.10003631743661663,
         "hypothesized": 0,
         "restriction": "treatment_2 = 0"
       },
       {
         "estimate": 0.09997558593736032,
         "hypothesized": 0,
         "restriction": "treatment_3 = 0"
       },
       {
         "estimate": -0.10003631743589748,
         "hypothesized": 0,
         "restriction": "treatment_4 = 0"
       },
       {
         "estimate": 0.09997558593777157,
         "hypothesized": 0,
         "restriction": "treatment_5 = 0"
       },
       {
         "estimate": -0.10003631743664072,
         "hypothesized": 0,
         "restriction": "treatment_6 = 0"
       },
       {
         "estimate": 0.09997558593781045,
         "hypothesized": 0,
         "restriction": "treatment_7 = 0"
       },
       {
         "estimate": -0.10003631743597244,
         "hypothesized": 0,
         "restriction": "treatment_8 = 0"
       },
       {
         "estimate": 0.09997558593713263,
         "hypothesized": 0,
         "restriction": "treatment_9 = 0"
       }
     ]
   }

   Digests dos dados

   d 5bc097e5c74468066edfc925a207dc8d1ae7a517bcb8d4e64a4afb9f13b4d7a9

   sha256 do resultado

   2a329b1932bf130d3564e7f752cc3dbfc8b1ded313f855cb386d2cb9af0d822d

4. 3Pontuação
   #0situação da ferramentapassouobrigatóriastatus ok
5. 4Pontuação
   #1diagnósticopassouobrigatória8 vs 8
6. 5Pontuação
   #2diagnósticopassouobrigatória1800 vs 1800
7. 6Pontuação
   #3dígitos corretos (LRE)falhouobrigatóriaLRE 4.19 (min 6.0)

Épocas × verificações

Tentativas

Cada tentativa é seu próprio arquivo e é publicada; só a última de cada época é pontuada.

• época 1, tentativa 1falhoupontuada(exibindo)

Downloads desta tarefa