Undergrad How to understand this property of Geometric Distribution

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SUMMARY

The discussion centers on the property of the Geometric Distribution, specifically the equation $$\text{Pr}(x=n+k|x>n)=P(k)$$. Participants confirm that after experiencing $(n+k-1)$ successive failures, the subsequent $k$ trials are independent and can be treated as isolated events. This understanding aligns with the fundamental definition of the Geometric Distribution, emphasizing the independence of trials following a series of failures.

PREREQUISITES
  • Understanding of Geometric Distribution properties
  • Familiarity with probability notation and concepts
  • Basic knowledge of statistical independence
  • Ability to apply definitions in probability theory
NEXT STEPS
  • Study the formal definition of Geometric Distribution
  • Learn how to derive properties of Geometric Distribution
  • Explore examples of independent trials in probability
  • Investigate applications of Geometric Distribution in real-world scenarios
USEFUL FOR

Students of statistics, data scientists, and anyone interested in probability theory and its applications, particularly in understanding the behavior of independent trials in the context of Geometric Distribution.

christang_1023
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There is a property to geometric distribution, $$\text{Geometric distribution } Pr(x=n+k|x>n)=P(k)$$.
I understand it in such a way: ##X## is independent, that's to say after there are ##(n+k-1)## successive failures, ##k## additional trials performed afterward won't be impacted, so these ##k## trials can be treated as isolated trials.
Am I right?
 
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christang_1023 said:
There is a property to geometric distribution, $$\text{Geometric distribution } Pr(x=n+k|x>n)=P(k)$$.
I understand it in such a way: ##X## is independent, that's to say after there are ##(n+k-1)## successive failures, ##k## additional trials performed afterward won't be impacted, so these ##k## trials can be treated as isolated trials.
Am I right?

Yes, that's the intuition to remember it. But be sure to be able to prove it using the definition of geometric distribution.
 
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If there are an infinite number of natural numbers, and an infinite number of fractions in between any two natural numbers, and an infinite number of fractions in between any two of those fractions, and an infinite number of fractions in between any two of those fractions, and an infinite number of fractions in between any two of those fractions, and... then that must mean that there are not only infinite infinities, but an infinite number of those infinities. and an infinite number of those...

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