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The time to failure of an engine is modeled by a non-normal distribution. You are assigned,...

The time to failure of an engine is modeled by a non-normal distribution. You are assigned, as a new Engineer, to estimate the time to failure of the ZX-300 new engine.

a) What would you try to estimate: centrality, dispersion or proportion? Explain

b) How many samples would you advise your team to destroy in this case in order for you to make an estimation? Explain

c) Let's say that times are hard to calculate, and you can get only 10 samples. Could you estimate the time to failure? Explain

d) Let's say that this is such an important task that the company will give you enough resources for 43 samples. You run the tests and get an average time to failure of 24 months with a standard deviation S. Provide the best possible estimate. State any additional assumptions.

Math   Statistics-And-Probability   
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