Question 2: Assume that the following data is normally distributed and the variances of three groups are homogenous (Non-anonymous question O ) A physician is testing different dosages of a drug to determine if varying the dosage has a statistically significant effect on a particular medical parameter (which might be the level of a certain chemical in the blood, for instance). To this end, the physician recruits five volunteer patients who agree to take different dosages of the drug and then submit to tests of the parameter under examination. The physician carefully selects three different drug dosages (D1, D2, and D3) and administers each to the patients, allowing sufficient time between dosages to allow the effects of the previous dosage to wear off. (One of the dosages might, for a control value, be a placebo.) For the patients labeled 1 through 5 for anonymity, the data set might look like the following. Patient D1 Dr D3 1 0.035 0.039 0.045 0.039 0.042 0.055 0.029 0.030 0.042 0.038 0.037 0.051 0.030 0.032 0.043 2345

Question 2: Assume that the following data is normally distributed and the variances of three groups are homogenous (Non-anonymous question (? ) A physician is testing different dosages of a drug to determine if varying the dosage has a statistically significant effect on a particular medical parameter (which might be the level of a certain chemical in the blood, for instance). To this end, the physician recruits five volunteer patients who agree to take different dosages of the drug and then submit to tests of the parameter under examination. The physician carefully selects three different drug dosages (D1, Dz, and D;) and administers each to the patients, allowing sufficient time between dosages to allow the effects of the previous dosage to wear off. (One of the dosages might, for a control value, be a placebo.) For the patients labeled 1 through 5 for anonymity, the data set might look like the following. Patient D1 0.035 0.039 0.045 0.039 0.042 0.055 0.029 0.030 0.042 0.038 0.037 0.051 0.030 0.032 0.043