Exponential Distribution Probability

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SUMMARY

The discussion focuses on calculating probabilities related to an exponential distribution for the life times of low-grade lightbulbs with a mean of 0.6 years. For part a, the correct approach to find the probability that the first success occurs on the fifth observation involves using the formula P(first success on 5th) = P(fail)^4 * P(success), where P(success) is derived from the exponential distribution. The participants clarify that the Z-score method is inappropriate for this problem, emphasizing the need to use the exponential distribution formula F(x) = 1 - e^(-λt), where λ is the rate parameter related to the mean.

PREREQUISITES
  • Understanding of exponential distribution and its properties
  • Knowledge of probability concepts such as success and failure events
  • Familiarity with the relationship between mean and rate parameter (λ) in exponential distributions
  • Basic skills in applying probability formulas for discrete events
NEXT STEPS
  • Study the exponential distribution and its applications in reliability engineering
  • Learn how to derive the rate parameter (λ) from the mean in exponential distributions
  • Practice calculating probabilities using the formula F(x) = 1 - e^(-λt)
  • Explore advanced topics in probability theory, such as the memoryless property of exponential distributions
USEFUL FOR

Students studying probability theory, statisticians, and professionals in quality control or reliability engineering who need to understand the behavior of exponentially distributed lifetimes.

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Homework Statement


The life times, Y in years of a certain brand of low-grade lightbulbs follow an exponential distribution with a mean of 0.6 years. A tester makes random observations of the life times of this particular brand of lightbulbs and records them one by one as either a success if the life time exceeds 1 year, or as a failure otherwise.

Part a) Find the probability to 3 decimal places that the first success occurs in the fifth observation.

Part b) Find the probability to 3 decimal places of the second success occurring in the 8th observation given that the first success occurred in the 3rd observation.

Part c) Find the probability to 2 decimal places that the first success occurs in an odd-numbered observation. That is, the first success occurs in the 1st or 3rd or 5th or 7th (and so on) observation.

Homework Equations


Z= (x-mean)/stddev

The Attempt at a Solution



for part a)
Assuming that each test is independent, I needP(Y1<1, Y2<1, Y3<1, Y4<1, Y5>1) = (P(Y<1))^4 P(Y>1) by independence.
So
I found E(X) = 0.6 and Var(X) = 0.36 so STDEV = 0.6. Then I found the Z score to be 0.667, which corresponded to P(Y<1) = 0.7486.

So I then did (0.7486)4 * (1 -0.7486) which gave me 0.0789, but this is incorrect. Do you see where I made a mistake?

Am I doing it completely wrong?

Any help is appreciated, thanks
 
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You calculated normal distribution and not exponential.
 
RUber said:
You calculated normal distribution and not exponential.
What formula am I meant to use? I only see F(x) = 1 - e^(lamda*t) but that doesn't look like the appropriate formula for this question
 
Check that formula for how lambda relates to the mean.
I think normally you want exp(-t/mean) for exponential.
 
RUber said:
Check that formula for how lambda relates to the mean.
I think normally you want exp(-t/mean) for exponential.
I realize that lamda is just 1/mean but I am unsure what to use for t, can I just use t = 5? This seems like the probability that the first success is WITHIN the first 5 tries rather than on the 5th try like required
 
T is the time of the event. You are running the test for 1 year. Find the probability of failure before one year. Success is 1-p(fail).
You can use the rest of your logic from above. P(first success on 5th) = p(fail)^4*p(success)
 
RUber said:
T is the time of the event. You are running the test for 1 year. Find the probability of failure before one year. Success is 1-p(fail).
You can use the rest of your logic from above. P(first success on 5th) = p(fail)^4*p(success)


got it, thanks!
 

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