Calculating Probability for Mean Time Between Events

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Discussion Overview

The discussion revolves around calculating the probability of an event not occurring within a specified time frame, given a mean time between events of 6 months. The scope includes theoretical reasoning and mathematical approaches to probability, particularly focusing on exponential distributions.

Discussion Character

  • Exploratory, Technical explanation, Debate/contested, Mathematical reasoning

Main Points Raised

  • One participant suggests that the probability of the event not happening in one year can be calculated by treating it like flipping a coin, proposing a probability of 0.25 based on independent events over two 6-month periods.
  • Another participant challenges this approach, arguing that it cannot be generally correct by providing an analogy involving a baby’s gestation period, which is constrained by biological limits.
  • A third participant identifies the situation as a classic case of an exponential distribution, indicating that the mean time of 6 months serves as the rate parameter for the calculation.
  • A later reply presents a mathematical expression for the rate and calculates the probability of the event occurring in one year as approximately 0.865, suggesting a different interpretation of the problem.

Areas of Agreement / Disagreement

Participants express differing views on the correct method to calculate the probability, with no consensus reached on the initial approach or the subsequent mathematical interpretation.

Contextual Notes

There are unresolved assumptions regarding the nature of the events and the applicability of the exponential distribution, as well as the interpretation of the mean time between events.

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 probability 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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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.
 
Last edited:
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.
 
Thanks for the leeds guys.

Spock
 
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
 
Last edited:

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