Statistics for Engineers and Scientists
4th Edition
ISBN: 9780073401331
Author: William Navidi Prof.
Publisher: McGraw-Hill Education
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Textbook Question
Chapter 7.1, Problem 8E
Another chemical engineer is studying the same process as in Exercise 7, and uses the following experimental matrix.
| Temperature (°C) |
Stirring Rate (rpm) | Yield (%) |
| 110 | 30 | 70.27 |
| 110 | 40 | 74.95 |
| 110 | 50 | 77.91 |
| 110 | 60 | 82.69 |
| 121 | 30 | 73.43 |
| 121 | 40 | 73.14 |
| 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 |
| 143 | 50 | 74.31 |
| 143 | 60 | 80.99 |
- a. Compute the
correlation between temperature and yield, between stirring rate and yield, and between temperature and stirring rate. - b. 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. - c. Do these data provide good evidence that increasing the stirring rate causes the yield to increase, within the range of the data? Or might the result be due to confounding? Explain.
- d. Which experimental design is better, this one or the one in Exercise 7? Explain.
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Chapter 7 Solutions
Statistics for Engineers and Scientists
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