Calculating Probability for Mean Time Between Events

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In summary, the conversation is about calculating the probability of an event not happening in one year, given a mean time between occurrences of 6 months. One person compares it to flipping a coin and suggests a probability of 0.25, but another person explains that this is not necessarily correct and introduces the concept of exponential distribution. They provide a formula for calculating the probability and suggest a more accurate result of 0.865.
  • #1
spock0149
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Ok,

This problem sounds really easy, but I think I am doing something wrong.

Question :

If the mean time between some random event occurring is 6 months, what is the probablity that in one year the event does not happen.

I think its like flipping a coin. There is a 0.5 chance of the event NOT happening in 6 months, so there is 0.5 x 0.5 chance of it not happening in 1 year, so P = 0.25.

Does this sound right?

Thanks
 
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  • #2
That could not be in generarl correct: take the case of a baby averaging nine months between conception and delivery. Time difference would be pretty much restricted by this 9 month figure.

And even if someone was to argue that what in medicine is "normal," is not the same as the "mean," well take the "normal temperature" of 98.6F; if you took the temperature of 10,000 people, I am sure the mean result could not vary much from that, probably by less than 2 degrees F.
 
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  • #3
What you have a classic case of an exponential distribution with 6 months as the rate parameter. This should be enough for you to figure the problem out.
 
  • #4
Thanks for the leeds guys.

Spock
 
  • #5
how does this look:

rate =

[tex] e^{-\frac{\labmda}{t}}=e^{-\frac{12}{6}}[/tex]
so,
probability of event occurring in one year = 1-rate =0.865
 
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FAQ: Calculating Probability for Mean Time Between Events

What is the formula for calculating probability for mean time between events?

The formula for calculating probability for mean time between events is: P = 1 / λ, where P represents the probability and λ represents the mean time between events.

How is the mean time between events determined?

The mean time between events can be determined by dividing the total time period by the number of events that occurred during that time period.

What does a higher probability value indicate?

A higher probability value indicates a higher likelihood of the event occurring within a given time frame.

Can probability for mean time between events be greater than 1?

No, probability for mean time between events cannot be greater than 1 as it represents the likelihood of an event occurring and 1 represents a 100% chance of an event occurring.

How does the probability for mean time between events affect decision making?

The probability for mean time between events can help inform decision making by providing an estimate of the likelihood of an event occurring within a given time frame. This information can be used to make informed decisions and plan accordingly.

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