Replace Distress Flare: Normal Distribution Life with 90% and 99% Success Rates

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Homework Help Overview

The discussion revolves around a problem involving the lifespan of distress flares, which are normally distributed with a specified mean and standard deviation. The focus is on determining the replacement time for the flares based on desired success rates of 90% and 99%.

Discussion Character

  • Exploratory, Assumption checking, Mathematical reasoning

Approaches and Questions Raised

  • Participants explore the relationship between z-scores and probabilities, questioning how to apply these concepts to find the lifespan corresponding to the desired success rates. There is uncertainty about how to approach the problem when given probabilities instead of specific timeframes.

Discussion Status

Some participants have provided guidance on the method to find the z-scores and how to relate them back to the lifespan of the flares. There is an acknowledgment of the shift in perspective required to solve the problem compared to typical probability questions.

Contextual Notes

Participants are navigating the specifics of the normal distribution and its application to real-world scenarios, while also addressing the implications of the desired success rates on the replacement timing of the flares.

Sirsh
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3. A local manufacturer creates distress flares. The times the flares last are normally distributed with a mean life of 9.8 years and a standard deviation of 1.3 years.
(b) A small boat owner who regularly travels out to sea wants to be sure his distress flare works. Determine when he should replace the distress flare, given he wants a better than:
(i) 90% chance the flare will work
(ii) 99% chance the flare will work.

For this question i am not sure what to do.. I thought that if it had said works for.. 11years you'd do z = (11-9.8)/1.3 then use this value to find out the proability. but with the percentages i am unsure. Could some please help me! much apprechiated.! :_)
 
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This is like the inverse of what you are describing. Suppose they had asked you "After 11 years, what is the probability that the flare is working?" And you would calculate your z-score (11-9.8)/1.3, look it up in a table, or use a computer, or whatever.

The question they are asking you now is, "After how many years will the probability of the flare working be below 90%?" This is a pretty similar problem; only now you're looking through your table at the probabilities and getting the z-scores instead of the other way around.
 
So would the probability of a certain flare be 0.9 then you'd have to find the z score, then put the z scores value into the equation z = (x-mean)/stnd dev and then you'd find the x value and that'd be the amount of years it would work for?
 
Yes!
 

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