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

In summary, your teacher is explaining the concept of independence between two events, which can be represented by Pr(B|A)=Pr(B) or Pr(AnB)=Pr(A)Pr(B). Your confusion may have come from thinking that when A and B are independent, P(AnB)=0, but this only applies to disjoint events and not all independent events. Disjoint events are almost never independent because if you have knowledge that one event happened, then you can be certain the other event did not happen.
  • #1
sara_87
763
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)
 
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  • #2
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)
 
  • #3
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!
 

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

What does the equation Pr(A$\cap$B) = Pr(A)Pr(B) mean?

This equation is known as the multiplication rule for independent events. It means that the probability of two independent events occurring together is equal to the product of their individual probabilities.

What does it mean for events to be independent?

Two events are considered independent if the occurrence of one event does not affect the probability of the other event occurring. In other words, the outcome of one event has no influence on the outcome of the other event.

How do you determine if events are independent?

To determine if events are independent, you can use the equation Pr(A$\cap$B) = Pr(A)Pr(B). If the equation holds true, then the events are considered independent. Additionally, you can also look at the events themselves and consider if the outcome of one event has any influence on the outcome of the other event.

What is the difference between independent events and dependent events?

As mentioned before, independent events are events where the occurrence of one event does not affect the probability of the other event occurring. On the other hand, dependent events are events where the occurrence of one event does affect the probability of the other event occurring. This means that the outcome of one event has an influence on the outcome of the other event.

Can events be both independent and dependent?

No, events cannot be both independent and dependent at the same time. They are mutually exclusive concepts. An event can only be classified as either independent or dependent based on the relationship between them.

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