Let us denote the breakdown of a Machine by X.
Then X~E(0.2).
a) Expected time between Machine Breakdown= E(X)= 1/0.2=5 days. (Since Mean of the exponential distribution is just reciprocal of its parameter.)
b) P(X>=5)= 1-P(X<=5) = 1- 0.6321206 = 0.3678794
c) P(X<=9| X>=7)= P(7<X<9) = P(X<9)- P(X<7)= 0.08129808
Here, I calculated the above probability by using R. So, I am attaching my R-Code:
> pexp(5,0.2)
[1] 0.6321206
> 1-pexp(5,0.2)
[1] 0.3678794
> pexp(9,0.2)
[1] 0.8347011
> pexp(7,0.2)
[1] 0.753403
> pexp(9,0.2)-pexp(7,0.2)
[1] 0.08129808
3. The time in days between breakdowns of a machine is exponentially distributed with λ-02 a....
4. Each time a machine is repaired, it remains up and working for an exponentially distributed time with rate λ. It then fails, and its failure is either of two types. If it is type 1 failure, then the time to repair the machine is exponentially distributed with mean μ1; if it is a type 1 failure, then the time to repair the machine is exponentially distributed with mean μ2. Each failure is, independently of the time it took the...
Problem 4: The number of breakdowns of a machine is a random variable with λ = 2.2 breakdowns per month. Find the probability that the machine will work during any given month with: No breakdowns One breakdown Two breakdowns At least two breakdowns What is the expected value for the distribution What is the standard deviation for the distribution
Suppose that the time (in hours) required to repair a machine is an exponentially distributed random variable with parameter λ (lambda) = 0.5.What's the probability that a repair takes less than 5 hours? AND what's the conditional probability that a repair takes at least 11 hours, given that it takes more than 8 hours?
The average time between failures of a laser machine is exponentially distributed with a mean of 40,000 hours. a) What is the expected time until 4th failure? b) What is the probability that the time to the 5th failure is greater than 80,000 hours?
The time between failures of a laser in a machine, X, is exponentially distributed with a mean of 25,000 hours. In other words, 1 a= (failures/hour). 25,000 Exponential Distribution (pdf): f(x) = 1.0-\x, for x > 0. (a) What is the probability that the next failure occurs in 27,000 hours? (b) What is the expected time until the third failure? (c) What is the probability that the time until the third failure exceeds 25,000 hours?
Q3. Each time a machine is repaired it remains "up" for an exponentially distributed time with rate A. It then fails and "down", and its failure is either of two types. If it is a type 1 failure, then the time to repair the machine is exponential with rate μ!, if it is a type 2 failure, then the repair time is exponential with rate H2. Each failure is, independently of the time it took the machine to fail, a...
Suppose that the time (in hours) required to repair a machine is an exponentially distributed random variable with parameter λ=0.8, i.e., mean = 1/lambda. What is (a) the probability that a repair takes less than 77 hours?
The Acme Machine Shop has five machines that periodically break down and require service. The average time between breakdowns for any one machine is 4 days, distributed according to an exponential distribution. The average time to repair a machine is 1 day, distributed according to an exponential distribution. One mechanic repairs the machines in the order in which they break down. Use q.xls. a. Determine the probability that the mechanic is idle. (Hint: Pn is given in q.xls, and is...
The time between calls to a plumbing supply business is exponentially distributed with a mean time between calls of 5-minutes. A) What is the probability that at least one call arrives within a 10-minute interval? B) What is the probability that at least one call arrives within 8 and 16 minutes after opening?
the time between calls to a plumbing supply business is exponentially distributed withh a mean time bwtween calls of 10 minutes mean time between calls of 10 minutes 1 (a) What is the probability that there are no calls within a 10-miwate Interval? (b) What is the probability that at least one call serivos within a 1s misvute interval? (e) Determine the lengsh of an interval of time such thai the probability of no ealls in the Interval is 0.40.