Asked by diogenes
Problem 1. Determining the type of a lightbulb.
The lifetime of a type-A bulb is exponentially distributed with parameter 𝜆 . The lifetime of a type-B bulb is exponentially distributed with parameter 𝜇 , where 𝜇>𝜆>0 . You have a box full of lightbulbs of the same type, and you would like to know whether they are of type A or B. Assume an a priori probability of 1/4 that the box contains type-B lightbulbs.
This question was a pain in the arse, so I am posting its solution here for posterity.
-------2019------
1. ln(mu/(3*lambda))/(mu-lambda)
2. (a): (1/4)*e^(-mu*alpha) + (3/4)(1-e^(-lambda*alpha))
3. 0.3286
The lifetime of a type-A bulb is exponentially distributed with parameter 𝜆 . The lifetime of a type-B bulb is exponentially distributed with parameter 𝜇 , where 𝜇>𝜆>0 . You have a box full of lightbulbs of the same type, and you would like to know whether they are of type A or B. Assume an a priori probability of 1/4 that the box contains type-B lightbulbs.
This question was a pain in the arse, so I am posting its solution here for posterity.
-------2019------
1. ln(mu/(3*lambda))/(mu-lambda)
2. (a): (1/4)*e^(-mu*alpha) + (3/4)(1-e^(-lambda*alpha))
3. 0.3286
Answers
Answered by
DaOne
To determine the type of lightbulb in the box, we can perform a hypothesis test. The null hypothesis is that the box contains type-A lightbulbs, and the alternative hypothesis is that the box contains type-B lightbulbs.
To test the null hypothesis, we can collect a sample of lightbulbs from the box and measure their lifetimes. We can then use the sample mean and standard deviation to calculate the test statistic, which is the z-score of the sample mean. If the z-score is significantly different from zero (i.e. outside of the critical region), we can reject the null hypothesis and conclude that the box contains type-B lightbulbs.
Alternatively, we can use the Bayesian approach and update our prior probability of the box containing type-B lightbulbs based on the observed lifetimes of the lightbulbs in the sample. If the posterior probability is greater than 1/4, we can conclude that the box contains type-B lightbulbs.
To test the null hypothesis, we can collect a sample of lightbulbs from the box and measure their lifetimes. We can then use the sample mean and standard deviation to calculate the test statistic, which is the z-score of the sample mean. If the z-score is significantly different from zero (i.e. outside of the critical region), we can reject the null hypothesis and conclude that the box contains type-B lightbulbs.
Alternatively, we can use the Bayesian approach and update our prior probability of the box containing type-B lightbulbs based on the observed lifetimes of the lightbulbs in the sample. If the posterior probability is greater than 1/4, we can conclude that the box contains type-B lightbulbs.
There are no AI answers yet. The ability to request AI answers is coming soon!
Submit Your Answer
We prioritize human answers over AI answers.
If you are human, and you can answer this question, please submit your answer.