Independent Events: Pr(A$\cap$B) = Pr(A)Pr(B)

Click For Summary
SUMMARY

The discussion clarifies the concept of independent events in probability theory, specifically focusing on the relationship between events A and B. It establishes that if Pr(B|A) = Pr(B) or equivalently Pr(A ∩ B) = Pr(A)Pr(B), then A and B are independent. The confusion arises from the distinction between independent events and disjoint (mutually exclusive) events, where Pr(A ∩ B) = 0 indicates disjoint events, not independence. Therefore, independent events can occur simultaneously, while disjoint events cannot.

PREREQUISITES
  • Understanding of probability theory concepts
  • Familiarity with conditional probability
  • Knowledge of independent and disjoint events
  • Basic mathematical notation for probability
NEXT STEPS
  • Study the definitions and properties of independent events in probability theory
  • Explore conditional probability and its applications
  • Learn about mutually exclusive events and their implications
  • Review examples of independent and disjoint events in real-world scenarios
USEFUL FOR

Students of probability theory, educators teaching statistics, and anyone seeking to clarify the distinctions between independent and disjoint events.

sara_87
Messages
748
Reaction score
0
My teacher gave these notes:

In general, if any two events A and B we find that Pr(B|A)=Pr(B), or equivantly,
Pr(AnB)=Pr(A)Pr(B),

then the events A and B are independent.



but i thought that when A and B are independent then Pr(AnB)=0?
what is my teacher trying to say, have i misunderstood something?
(btw n represents intersection)
 
Physics news on Phys.org
P(A intersect B) = 0 means they're disjoint. Disjoint events are almost never independent. (If you have knowledge that A happened, you're certain that B didn't happen, so the two events cannot be independent)
 
P(A and B)= P(A) P(B) means they are "independent". P(A and B)= 0 means they are "mutually exclusive": it one happens, the other can't. That's certainly not independent!
 

Similar threads

  • · Replies 1 ·
Replies
1
Views
5K
  • · Replies 1 ·
Replies
1
Views
3K
  • · Replies 5 ·
Replies
5
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 13 ·
Replies
13
Views
7K
  • · Replies 8 ·
Replies
8
Views
2K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 7 ·
Replies
7
Views
2K