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Given that the probability of an event is constant and/or hasis greater than a non-zerofixed lower-limit, with a sufficient number of trials, the event will occur with probability 1. This can be seen with something as simple as the CDF of the geometric distribution, where $lim_{k\rightarrow \inf} 1-(1-p)^k \rightarrow 1$.

Given that the probability of an event is constant and/or has a non-zero lower-limit, with a sufficient number of trials, the event will occur with probability 1. This can be seen with something as simple as the CDF of the geometric distribution, where $lim_{k\rightarrow \inf} 1-(1-p)^k \rightarrow 1$.

Given that the probability of an event is constant and/or is greater than a fixed lower-limit, with a sufficient number of trials, the event will occur with probability 1. This can be seen with something as simple as the CDF of the geometric distribution, where $lim_{k\rightarrow \inf} 1-(1-p)^k \rightarrow 1$.

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mandata
mandata
  • 938
  • 6
  • 10

Given that the probability of an event is constant and/or has a non-zero lower-limit, with a sufficient number of trials, the event will occur with probability 1. This can be seen with something as simple as the CDF of the geometric distribution, where $lim_{k\rightarrow \inf} 1-(1-p)^k \rightarrow 1$.