Final answer:
To find the minimal power-down rate λ that the projector could have so that there is a probability of 0.05 that the lecture will finish before the projector shuts down, we can use the exponential distribution. The answer to part (a) is λ ≈ -0.0033 (rounded to 4 decimal places). For part (b), the minimal power-down rate λ is λ ≈ -0.0092 (rounded to 4 decimal places). The expected value of the time between power-down events for part (a) is approximately -302.43 minutes and for part (b) is approximately -108.77 minutes.
Step-by-step explanation:
To find the minimal power-down rate λ that the projector could have so that there is a probability of 0.05 that the lecture will finish before the projector shuts down, we can use the exponential distribution. The exponential distribution has a probability density function of f(x) = λe^(-λx), where λ is the rate parameter and x is the time. The cumulative density function (CDF) for the exponential distribution is F(x) = 1 - e^(-λx). In this case, we want to find the rate parameter λ that gives a CDF of 0.05 at the lecture time. Let's solve for λ:
- Since the lecture time is 80 minutes, we have F(80) = 0.05
- Substituting the CDF formula, 1 - e^(-80λ) = 0.05
- Now, solve for λ by taking the natural logarithm of both sides: -80λ = ln(0.95)
- Finally, divide by -80 to get the minimal power-down rate λ: λ = ln(0.95) / -80
The answer to part (a) is λ ≈ -0.0033 (rounded to 4 decimal places).
For part (b), we repeat the same steps but with a lecture time of 50 minutes. The only difference is in step 2, where we have F(50) = 0.05. Solving for λ gives us λ ≈ -0.0092 (rounded to 4 decimal places).
In part (c), we are asked to find the expected value of the time between power-down events. This is simply the reciprocal of the power-down rate λ. So, for part (a), the expected value is 1 / (ln(0.95) / -80), and for part (b), the expected value is 1 / (ln(0.95) / -50).