How to understand this property of Geometric Distribution

Click For Summary
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
Messages
27
Reaction score
3
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?
 
Physics news on Phys.org
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.
 
  • Informative
Likes   Reactions: christang_1023

Similar threads

  • · Replies 1 ·
Replies
1
Views
1K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 15 ·
Replies
15
Views
2K
  • · Replies 5 ·
Replies
5
Views
3K
  • · Replies 1 ·
Replies
1
Views
3K
  • · Replies 9 ·
Replies
9
Views
3K
  • · Replies 14 ·
Replies
14
Views
2K
  • · Replies 1 ·
Replies
1
Views
3K
  • · Replies 29 ·
Replies
29
Views
6K
Replies
2
Views
2K