0 votes 0 votes Assume that a light bulb lasts on average $100$ hours. Assuming exponential distribution, compute the probability that it lasts more than $200$ hours and the probability that it lasts less than $50$ hours. Probability probability gravner engineering-mathematics random-variable + – Pooja Khatri asked Sep 26, 2018 Pooja Khatri 428 views answer comment Share Follow See all 0 reply Please log in or register to add a comment.
Best answer 1 votes 1 votes Here $\text{mean} (\beta) = 100$ so $\lambda = \large \frac{1}{\beta} = \large \frac{1}{100}$ $P(X \leq x) = 1 - \large e^{- \lambda x}$ $P(X \leq 200) = 1 - e^{-2} $ $P(X \geq 200) = 1 - P(X \leq 200) $ $= 1 - (1 - e^{-2}) = e^{-2} \approx 0.1353 $ Probability the bulb lasts more than $200$ hours is $0.1353$ $P(X \leq 50) = 1 - e^{- \frac{1}{100} \times 50} \approx 0.3935$ Probability the bulb lasts less than $50$ hours is $0.3935$ Mk Utkarsh answered Nov 15, 2018 • edited Nov 16, 2018 by Mk Utkarsh Mk Utkarsh comment Share Follow See all 0 reply Please log in or register to add a comment.