9. A pharmaceutical manufacturer is designing an experiment to test 4 different capsule ingredients designed to reduce dissolution time. Each ingredient will be tested at 10 milligrams and 40 milligrams. A full factorial design is used with 5 repeats per run. The number of levels, factors and runs is, respectively: 1. 2, 4, 16. 2. 4, 5, 8. 3. 0, 4, 40. 4. 2, 20, 16. 5. 10, 8, 80. 10. With respect to Question 9: the variance of the five repeats for each run is calculated. Most of these variances are approximately equal, but two are signifcantly lower than the others. The experimenters would be especially interested in those two runs if they wanted to optimise 1. dissolution time. 2. interactions. 3. main effects. 4. robustness. 5. degree of freedom. 11. With respect to Question 9: to estimate the within-treatment variance, the experimenters would calculate the variances of 1. all 80 readings. 2. the five repeats for each run. 3. the runs for which a factor is at its lowest level. 4. the runs for which a factor is at its highest level. 5. None of the above. 12. An experiment has seven factors with two levels each. The experiment has eight runs. This experimental design is called: 1. full factorial design. 2. half fractional factorial design. 3. interaction. 4. correlation. 5. None of the above. 13. The principle disadvantage of fractional factorial experiments is that 1. experimental error is high. 2. robustness is compromised. 3. effects are confounded