Question: Many parts of cars are mechanically tested to be certain that they do not fail prematurely. In an experiment to determine which one of two
NOTE: use ONLY the P-value method for hypothesis tests.
Number of Openings and Closings
| Alloy 1 | Alloy 2 | ||||||
| 1.5 | 1.5 | 0.9 | 1.3 | 1.4 | 0.9 | 1.3 | 0.8 |
| 1.8 | 1.6 | 1.3 | 1.5 | 1.3 | 1.3 | 0.9 | 1.4 |
| 1.6 | 1.2 | 1.2 | 1.8 | 0.7 | 1.2 | 1.1 | 0.9 |
| 1.3 | 0.9 | 1.5 | 1.6 | 1.2 | 0.8 | 1.2 | 1.1 |
| 1.2 | 1.3 | 1.4 | 1.4 | 0.8 | 0.7 | 1.1 | 1.4 |
| 1.1 | 1.5 | 1.1 | 1.5 | 1.1 | 1.4 | 0.8 | 0.8 |
| 1.3 | 0.8 | 0.8 | 1.1 | 1.3 | 1.1 | 1.5 | 0.9 |
| 1.1 | 1.6 | 1.6 | 1.3 | 1.4 | 1.2 | 1.3 | 1.6 |
| 0.9 | 1.4 | 1.7 | 0.9 | 0.6 | 0.9 | 1.8 | 1.4 |
| 1.1 | 1.3 | 1.9 | 1.3 | 1.5 | 0.8 | 1.6 | 1.3 |
a) Can we conclude at the 5% significance level that the mean number of door openings and closings with hinges made from Alloy 1 is greater than 1.25 million?
b.) Can we conclude at the 10% significance level that the variance of the number of openings and closings with the hinges made from Alloy 2 is less than 0.035?
c.) Estimate with 90% confidence the difference in the number of openings and closings between hinges made with Alloy 1 and hinges made with Alloy 2. Interpret the interval.
d.) The quality control manager is not only concerned about the openings and closings of the hinges but is also concerned about the proportion of hinges that fail. Can we infer at the 10% significance level that the proportion of hinges made with Alloy 2 that fail exceeds 18%?
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