Choose the correct answers for the items listed below. Response = [ Select ] ["Survival Times", "Medications", "Poisons"] Row factor, number of levels = [ Select ] ["Poisons, 4", "Survival Times, 12", "Medications, 3", "Survival Times, 48", "Poisons, 3", "Medications, 4"] Column factor, number of levels = [ Select ] ["Medications, 3", "Poisons, 4", "Medications, 4", "Poisons, 3", "Survival Times, 12", "Survival Times, 48"] Number of treatments = number of samples = [ Select ] ["3", "4", "12", "48", "16"] Number of subjects per sample = [ Select ] ["48", "3", "16", "12", "4"] Total number of observations = [ Select ] ["16", "12", "4", "48", "3"] Variance of the survival times for all animals given Medication D = [ Select ] ["0.01046288", "0.02789318", "0.04386", "0.00387833", "0.10293333", "0.04815379", "0.08373292"] Total survival time for all animals given Poison III = [ Select ] ["4.42", "6.41", "8.12", "4.71", "8.71", "3.77", "9.88"] Average survival time for animals given Poison II and Medication C = [ Select ] ["0.3925", "0.4125", "0.544375", "0.375"]
Choose the correct answers for the items listed below.
Response = [ Select ] ["Survival Times", "Medications", "Poisons"]
Row factor, number of levels = [ Select ] ["Poisons, 4", "Survival Times, 12", "Medications, 3", "Survival Times, 48", "Poisons, 3", "Medications, 4"]
Column factor, number of levels = [ Select ] ["Medications, 3", "Poisons, 4", "Medications, 4", "Poisons, 3", "Survival Times, 12", "Survival Times, 48"]
Number of treatments = number of samples = [ Select ] ["3", "4", "12", "48", "16"]
Number of subjects per sample = [ Select ] ["48", "3", "16", "12", "4"]
Total number of observations = [ Select ] ["16", "12", "4", "48", "3"]
Variance of the survival times for all animals given Medication D = [ Select ] ["0.01046288", "0.02789318", "0.04386", "0.00387833", "0.10293333", "0.04815379", "0.08373292"]
Total survival time for all animals given Poison III = [ Select ] ["4.42", "6.41", "8.12", "4.71", "8.71", "3.77", "9.88"]
Average survival time for animals given Poison II and Medication C = [ Select ] ["0.3925", "0.4125", "0.544375", "0.375"]


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