Probabilty of reliability and the failure rate

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SUMMARY

The discussion centers on calculating the failure rate of a device with a reliability of 0.8 over 2000 hours. To determine the failure rate, one must assume an exponential probability density model, where the equation 0.8 = exp(-2000 k) is utilized. Solving this equation for the constant "k" allows for the calculation of the failure rate, which is essential for further analysis of MTBF (Mean Time Between Failures) and MTTF (Mean Time To Failure).

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scotchpie
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I am currently studying for a business qualification I am stumbling over a question.

It concerns calculating failure rate. The equation I know for this involves knowing the number of failures over a given time.

However the question is: "A device has a reliability of 0.8 over 2000 hours, calculate the failure rate."

How can I firstly work out the number of failures from this? It doesn't give any other information, ie total sample size etc. just the reliability over 2000 hours.

It's a bit of a killer as the next questions refer to MTBF (mean time between failures) and MTTF (mean time to failure) but I need to know the failure rate first before I can tackle these questions which I am confident in answering once the failure rate has been determined.

Thanks
Andrew
 
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You are probably meant to assume an exponential probability density model. The data "A device has a reliability of 0.8 over 2000 hours" will let you calculate the single constant in the model and everything else should follow from that.

That is, 0.8 = exp(-2000 k). Solve this for "k".
 

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