# Question

Consider the time to failure data in Exercise 9.19. Is the normal distribution a reasonable model for these data? Why or why not?

In exercise

Consider the following 20 observations on time to failure: 702, 507, 664, 491, 514, 323, 350, 681, 281, 599, 495, 254, 185, 608, 626, 622, 790, 248, 610, and 537. Is either exponential or the Weibull a reasonable choice of the time to failure distribution?

In exercise

Consider the following 20 observations on time to failure: 702, 507, 664, 491, 514, 323, 350, 681, 281, 599, 495, 254, 185, 608, 626, 622, 790, 248, 610, and 537. Is either exponential or the Weibull a reasonable choice of the time to failure distribution?

## Answer to relevant Questions

Suppose you had to improve service quality in a bank credit card application and approval process. What critical-to-quality characteristics would you identify? How could you go about improving this system? A simple series system is shown in the accompanying figure. The reliability of each component is shown in the figure. Assuming that the components operate independently, calculate the system reliability. Consider the parallel system shown in the accompanying figure. The reliability for each component is shown in the figure. Assuming the components operate independently, calculate the system reliability. Suppose that units are placed on test and that five of them fail at 20, 25, 40, 75, and 100 hours, respectively. The test is terminated at 100 hours without replacing any of the failed units. Find the failure rate. An electronic component has an exponential time to failure distribution with hours. What are the mean and variance of the time to failure? What is the reliability at 7,000 hours?Post your question

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