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Mazyrski [523]
3 years ago
11

Consider a system with one component that is subject to failure, and suppose that we have 120 copies of the component. Suppose f

urther that the lifespan of each copy is an independent exponential random variable with mean 10 days, and that we replace the component with a new copy immediately when it fails.
a. Approximate the probability that the system is still working after 1300 days.
b. Suppose that the time to replace the component is a random variable that is uniformly distributed over ( 0 , 0.5 ). Approximate the probability that the system is still working after 1100 days.
Mathematics
1 answer:
saveliy_v [14]3 years ago
3 0
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Answer:

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Step-by-step explanation:

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\bar{x}\pm t_{\alpha/2}(\frac{s}{\sqrt{n}}) where t_{\alpha/2} is the \alpha/2th quantile of the t distribution with n-1=5 degrees of freedom. As we want the 80% confidence interval, we have that \alpha = 0.2 and the confidence interval is 17.6667\pm t_{0.1}(\frac{13.3367}{\sqrt{6}}) where t_{0.1} is the 10th quantile of the t distribution with 5 df, i.e., t_{0.1} = -1.4759. Then, we have 17.6667\pm (1.4759)(\frac{13.3367}{\sqrt{6}}) and the 80% confidence interval is given by (9.6, 25.7)

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Stella [2.4K]

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Answer:

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Answer:

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