Another chemical engineer is studying the same process as in Exercise 7, and uses the following experimental matrix. Temperature (C) Stirring Rate (ipm) Yield (%) 110 30 70.27 74.95 77.91 110 40 110 50 110 60 82.69 73.43 73.14 121 30 121 40 121 50 78.27 121 60 74.89 132 30 69.07 132 40 70.83 132 50 79.18 132 60 78.10 143 30 73.71 143 40 77.70 74.31 80.99 143 50 143 60 Compute the corelation between temperature and yield, between stiring rate and yield, and between temperature and stiring rate. Do these data provide good evidence that the yield is unaffected by temperature, within the range of the data? Or might the result be due to confounding? Explain. Do these data provide good evidence that increasing the stiring rate causes the yield to increase, within the range of the data? Or might the result be due to confounding? Explain. Б. C. d. Which experimental design is better, this one or the one in Exercise 7? Explain.
Another chemical engineer is studying the same process as in Exercise 7, and uses the following experimental matrix. Temperature (C) Stirring Rate (ipm) Yield (%) 110 30 70.27 74.95 77.91 110 40 110 50 110 60 82.69 73.43 73.14 121 30 121 40 121 50 78.27 121 60 74.89 132 30 69.07 132 40 70.83 132 50 79.18 132 60 78.10 143 30 73.71 143 40 77.70 74.31 80.99 143 50 143 60 Compute the corelation between temperature and yield, between stiring rate and yield, and between temperature and stiring rate. Do these data provide good evidence that the yield is unaffected by temperature, within the range of the data? Or might the result be due to confounding? Explain. Do these data provide good evidence that increasing the stiring rate causes the yield to increase, within the range of the data? Or might the result be due to confounding? Explain. Б. C. d. Which experimental design is better, this one or the one in Exercise 7? Explain.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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