What Is the Probability of a Computer Being Operational for 100 Days?

  • Thread starter Thread starter estado3
  • Start date Start date
Click For Summary
SUMMARY

The probability of a computer being operational for 100 days, given specific failure rates for its components, is calculated using the probabilities of failure for the monitor (0.005), CPU (0.02), and keyboard cable (0.0025). The total probability of system failure is 0.0095, leading to a probability of operational status of 0.9905 for one day. To find the operational probability over 100 days, the formula (P(operational))^100 is applied, resulting in an operational probability of approximately 0.386058. Adjustments for conditional probabilities yield a revised operational probability of 0.390459.

PREREQUISITES
  • Understanding of basic probability concepts
  • Familiarity with conditional probability
  • Knowledge of independent events in probability
  • Ability to perform exponentiation of probabilities
NEXT STEPS
  • Study the principles of independent and dependent events in probability
  • Learn about conditional probability and its applications
  • Explore the use of probability in reliability engineering
  • Practice calculating probabilities for multiple independent events
USEFUL FOR

Students in statistics, computer science professionals, and anyone interested in understanding the reliability of systems through probability analysis.

estado3
Messages
13
Reaction score
0

Homework Statement




Assuming a comp is switche don, the probability that the monitor is not working is 0.005, the probability that the CPU is faulty is 0.02, and the probability that the keyboard cable has been damaged is 0.0025, and that there are no other faults.

Proceed to evaluate the probability that the computer will be operaitonal for a period of 100 days, if it is switched on and off once a day only, and that the faults have the same probability of occurrence on each occasion


Homework Equations





The Attempt at a Solution



I tried to find the probability that the comp will be operational i.e
p(monitorfailing) +p(cpufaulty) + p(cable damaged) = p(systemfailure)

0.005 + 0.002 + 0.0025 = 0.0095

My next assumption is the value above is the probability of the comp working for one day, and to simply multiply by 100 i.e 0.95 to get the probability of the comp working for 100 days, however I am way off and the answer is 0.386058
 
Physics news on Phys.org
estado3 said:

Homework Statement




Assuming a comp is switche don, the probability that the monitor is not working is 0.005, the probability that the CPU is faulty is 0.02, and the probability that the keyboard cable has been damaged is 0.0025, and that there are no other faults.

Proceed to evaluate the probability that the computer will be operaitonal for a period of 100 days, if it is switched on and off once a day only, and that the faults have the same probability of occurrence on each occasion


Homework Equations





The Attempt at a Solution



I tried to find the probability that the comp will be operational i.e
p(monitorfailing) +p(cpufaulty) + p(cable damaged) = p(systemfailure)

0.005 + 0.002 + 0.0025 = 0.0095

My next assumption is the value above is the probability of the comp working for one day, and to simply multiply by 100 i.e 0.95 to get the probability of the comp working for 100 days, however I am way off and the answer is 0.386058

u started right with adding them up to get system failureP (Failure)=0.0095
but the question asks when it will be operational! so P(operational)= 1-P(failure)
then 100 days would [P(operational) ] ^100. because each day has the same probability of success so u multiply it by itself 100 times.
 
The question then says that the conditional probability of the monitor not working given that the keyboard cable has been damaged is 0.05, and askes how it affects the answers

the solution is 0.390459

but I am thinking that
the probability of failure of the monitor is now
0.005 X 0.05

overall 1 - probability of failure of the system is now
(1 - (0.005 X 0.05 + 0.002 + 0.0025) ) ^100
 

Similar threads

Replies
9
Views
4K
Replies
3
Views
4K
  • · Replies 13 ·
Replies
13
Views
4K
Replies
29
Views
6K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K
Replies
12
Views
3K
Replies
4
Views
3K
Replies
67
Views
9K