Probability of more than n machines down any hour?












2














Suppose we have $N$ identical machines, at any given hour, there's a chance $P$ that any given machine went down. A down machine takes $T$ hours to recover. How do I calculate the chances that in a given longer interval $Y$ (assume $Y >> T$), what are the chances that there exists $0 < t < Y$ such that at time $t$, there are more than $R$ machines that are down?










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  • 2




    A Poisson distribution describes this situation.
    – David G. Stork
    5 hours ago






  • 1




    Do you want to know the probability more than $R$ machines are down at time $Y$ or the probability that there exists time $0<t<Y$ such that more than $R$ machines are down at time $t$?
    – SmileyCraft
    5 hours ago










  • @SmileyCraft, the later, the probability that there exists time 0 < t < Y such that more than R machines are down at time t.
    – Vance
    5 hours ago










  • @DavidG.Stork, how would I apply Poisson distribution to this scenario? I can maybe find the average number of machines going down per year based on the P, and calculate the chances for r < R, but that does not necessarily answer if they are concurrent?
    – Vance
    5 hours ago










  • This is a Poisson distribution with expected number of faults in a given hour of $P N$. That determines all probabilities.
    – David G. Stork
    3 hours ago
















2














Suppose we have $N$ identical machines, at any given hour, there's a chance $P$ that any given machine went down. A down machine takes $T$ hours to recover. How do I calculate the chances that in a given longer interval $Y$ (assume $Y >> T$), what are the chances that there exists $0 < t < Y$ such that at time $t$, there are more than $R$ machines that are down?










share|cite|improve this question









New contributor




Vance is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
















  • 2




    A Poisson distribution describes this situation.
    – David G. Stork
    5 hours ago






  • 1




    Do you want to know the probability more than $R$ machines are down at time $Y$ or the probability that there exists time $0<t<Y$ such that more than $R$ machines are down at time $t$?
    – SmileyCraft
    5 hours ago










  • @SmileyCraft, the later, the probability that there exists time 0 < t < Y such that more than R machines are down at time t.
    – Vance
    5 hours ago










  • @DavidG.Stork, how would I apply Poisson distribution to this scenario? I can maybe find the average number of machines going down per year based on the P, and calculate the chances for r < R, but that does not necessarily answer if they are concurrent?
    – Vance
    5 hours ago










  • This is a Poisson distribution with expected number of faults in a given hour of $P N$. That determines all probabilities.
    – David G. Stork
    3 hours ago














2












2








2







Suppose we have $N$ identical machines, at any given hour, there's a chance $P$ that any given machine went down. A down machine takes $T$ hours to recover. How do I calculate the chances that in a given longer interval $Y$ (assume $Y >> T$), what are the chances that there exists $0 < t < Y$ such that at time $t$, there are more than $R$ machines that are down?










share|cite|improve this question









New contributor




Vance is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.











Suppose we have $N$ identical machines, at any given hour, there's a chance $P$ that any given machine went down. A down machine takes $T$ hours to recover. How do I calculate the chances that in a given longer interval $Y$ (assume $Y >> T$), what are the chances that there exists $0 < t < Y$ such that at time $t$, there are more than $R$ machines that are down?







probability probability-distributions






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Check out our Code of Conduct.











share|cite|improve this question









New contributor




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share|cite|improve this question




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edited 3 hours ago









Sauhard Sharma

71714




71714






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asked 5 hours ago









Vance

112




112




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New contributor





Vance is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.






Vance is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.








  • 2




    A Poisson distribution describes this situation.
    – David G. Stork
    5 hours ago






  • 1




    Do you want to know the probability more than $R$ machines are down at time $Y$ or the probability that there exists time $0<t<Y$ such that more than $R$ machines are down at time $t$?
    – SmileyCraft
    5 hours ago










  • @SmileyCraft, the later, the probability that there exists time 0 < t < Y such that more than R machines are down at time t.
    – Vance
    5 hours ago










  • @DavidG.Stork, how would I apply Poisson distribution to this scenario? I can maybe find the average number of machines going down per year based on the P, and calculate the chances for r < R, but that does not necessarily answer if they are concurrent?
    – Vance
    5 hours ago










  • This is a Poisson distribution with expected number of faults in a given hour of $P N$. That determines all probabilities.
    – David G. Stork
    3 hours ago














  • 2




    A Poisson distribution describes this situation.
    – David G. Stork
    5 hours ago






  • 1




    Do you want to know the probability more than $R$ machines are down at time $Y$ or the probability that there exists time $0<t<Y$ such that more than $R$ machines are down at time $t$?
    – SmileyCraft
    5 hours ago










  • @SmileyCraft, the later, the probability that there exists time 0 < t < Y such that more than R machines are down at time t.
    – Vance
    5 hours ago










  • @DavidG.Stork, how would I apply Poisson distribution to this scenario? I can maybe find the average number of machines going down per year based on the P, and calculate the chances for r < R, but that does not necessarily answer if they are concurrent?
    – Vance
    5 hours ago










  • This is a Poisson distribution with expected number of faults in a given hour of $P N$. That determines all probabilities.
    – David G. Stork
    3 hours ago








2




2




A Poisson distribution describes this situation.
– David G. Stork
5 hours ago




A Poisson distribution describes this situation.
– David G. Stork
5 hours ago




1




1




Do you want to know the probability more than $R$ machines are down at time $Y$ or the probability that there exists time $0<t<Y$ such that more than $R$ machines are down at time $t$?
– SmileyCraft
5 hours ago




Do you want to know the probability more than $R$ machines are down at time $Y$ or the probability that there exists time $0<t<Y$ such that more than $R$ machines are down at time $t$?
– SmileyCraft
5 hours ago












@SmileyCraft, the later, the probability that there exists time 0 < t < Y such that more than R machines are down at time t.
– Vance
5 hours ago




@SmileyCraft, the later, the probability that there exists time 0 < t < Y such that more than R machines are down at time t.
– Vance
5 hours ago












@DavidG.Stork, how would I apply Poisson distribution to this scenario? I can maybe find the average number of machines going down per year based on the P, and calculate the chances for r < R, but that does not necessarily answer if they are concurrent?
– Vance
5 hours ago




@DavidG.Stork, how would I apply Poisson distribution to this scenario? I can maybe find the average number of machines going down per year based on the P, and calculate the chances for r < R, but that does not necessarily answer if they are concurrent?
– Vance
5 hours ago












This is a Poisson distribution with expected number of faults in a given hour of $P N$. That determines all probabilities.
– David G. Stork
3 hours ago




This is a Poisson distribution with expected number of faults in a given hour of $P N$. That determines all probabilities.
– David G. Stork
3 hours ago










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