# Question

Suppose that you have 15 observations on the number of hours to failure of a unit. The observations are 259, 53, 536, 1320, 341, 667, 538, 1713, 428, 152, 29, 445, 677, 637, 696, 540, 1392, 192, 1871, and 2469. Is the exponential distribution a reasonable choice for the time to failure distribution? Estimate the MTTF.

## Answer to relevant Questions

Twenty observations on the time to failure of a system are as follows: 1054, 320, 682, 1440, 1085, 938, 871, 471, 1053, 1103, 780, 665, 1218, 659, 393, 913, 566, 439, 533, and 813. Is the Weibull distribution a reasonable ...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, ...Consider the stand-by system in the accompanying figure. The components have an exponential lifetime distribution, and the decision switch operates perfectly. The MTTF of each component is 1,000 hours. Assuming that the ...Suppose that 50 units are tested for 1,000 cycles of use. At the end of the 1,000-cycle test period, 5 of units have failed. When a unit failed, it was replaced with a new one and the test was continued. Estimate the ...Suppose that a lifetime of a component has a Weibull distribution with shape parameter . If the system should have reliability 0.99 at 7,500 hours of use, what value of the scale parameter is required?Post your question

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