Probability and chance of failure

In summary, the experiment has a 96% chance of success and a 4% chance of failure. If the experiment is tried 100 times, the probability of exactly 1 failure is 6.96% and the probability of at least 1 failure is 98.3%. The probabilities can be determined using the Binomial Distribution.
  • #1
Zach_C
34
0
Ok, not really homework but I did not want to crowd general math.

I have an experiment that has 96% chance of working. If I try it one hundred times what is the chance of one being a failure.

I know with a one in two shot it is .5^2=.25 You now have a 25 percent chance of failure. Any help. Sorry at the moment my brain seems dead.
 
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  • #2
Oh my God I'm an idiot. I really am more tired than this thread let's on. :zzz:
 
  • #3
Try solving the opposite problem.
 
  • #4
Zach_C said:
Ok, not really homework but I did not want to crowd general math.

I have an experiment that has 96% chance of working. If I try it one hundred times what is the chance of one being a failure.

I know with a one in two shot it is .5^2=.25 You now have a 25 percent chance of failure. Any help. Sorry at the moment my brain seems dead.
Do you want the probability for "EXACTLY 1" Failure or for "AT LEAST 1" Failure?? Both can be determined from the Binomial Distribution:
Prob{Exactly 1 Failure} = (99)*{(0.96)^(99)}*{(1 - 0.96)^(1)} =
= (0.0696) = (6.96 %)
Prob{At Least 1 Failure} = 1 - Prob{Exactly 0 Failures} = 1 - (0.96)^100 =
= (0.983) = (98.3 %)


~~
 
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FAQ: Probability and chance of failure

What is probability?

Probability is a measure of the likelihood of an event occurring. It is represented as a number between 0 and 1, where 0 indicates impossibility and 1 indicates certainty.

How is probability calculated?

Probability can be calculated by dividing the number of favorable outcomes by the total number of possible outcomes. It can also be calculated using mathematical formulas such as the multiplication rule, addition rule, and Bayes' theorem.

What is the difference between theoretical and experimental probability?

Theoretical probability is based on mathematical calculations and assumes that all outcomes are equally likely. Experimental probability is based on actual data collected from experiments or observations.

What is the relationship between probability and chance of failure?

Probability and chance of failure are inversely related. This means that as the probability of an event occurring increases, the chance of failure decreases. Similarly, as the probability decreases, the chance of failure increases.

How can probability and chance of failure be used in decision making?

By understanding the probability and chance of failure of different outcomes, decision makers can make informed choices and assess the potential risks involved. This can help in minimizing the likelihood of failure and making more successful decisions.

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