Layout for defining prob. for Independent Events.

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SUMMARY

The discussion centers on the concept of independence in probability, specifically regarding the probability of team A winning two consecutive games against team B. The probabilities are defined as P(A) = 0.6 and P(B) = 0.4, with the assumption that game outcomes are independent. The confusion arises in expressing the event 'AA' (A winning twice) as an intersection of two events, which is necessary to apply the multiplication rule for independent events. The correct approach is to define A1 as the event of A winning the first game and A2 as the event of A winning the second game, leading to the conclusion that P(A1 and A2) = P(A1) * P(A2).

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Bacle
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Hi, everyone:

I was reviewing some intro material, and I ended up confused with the issue of

independence with the following problem:

We are given two teams, A,B, playing against each other. A wins with probability

P(A)=0.6 , B wins with P(B)=0.4 (games are played until someone wins.). We also

assume that the outcome of any game is independent from that of any other

game.


**Now** . Here is where I am confused:

Let a string with A in i-th place and B in j-th place denote that A won the i-th

game and B won the j-th game.

I am trying to show that the probability of team A winning two consecutive games

is (0.6)^2 , arguing that the outcome : AA has probability (0.6)(0.6) , since the

outcome of game 2 is (assumed) independent from that of game 1.

**BUT** I am having trouble expressing the event 'AA' as an intersection of two

events E,E' , which I need to do in order to use the rule: P(E/\E')=P(E)*P(E') , (with

/\:= intersection , and * is product)

My sample space is :

{ A,B , AA, AB, BA, BB, AAA, ...}


And I don't see how to express 'AA' as an intersection of events in order to justify

saying that the probability of 'AA' is (0.6)(0.6) . Any Ideas.?.

Thanks.
 
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You are confusing the teams A and B with the events A wins or B wins. The outcome of the first game may be called O1 and the second game O2. So the independent events of interest are Oi=A wins for i=1 and 2.
So P(O1=A wins and O2=A wins)=P(O1=A wins)P(O2=A wins).
 
""You are confusing the teams A and B with the events A wins or B wins."


Not really. I described my choice of notation:


" Let a string with A in i-th place and B in j-th place denote that A won the i-th

game and B won the j-th game."


By this notation, a string AA denotes the team A winning twice consecutively.


But the issue I had was that my options for deriving a probability were:

0) Define the sample space S. Then an event E is an element in 2^S.

i) P(E union E')=P(E)+P(E')

ii) P (E intersection E') =P(E)*p(E')

And I do not see any way of expressing 'AA' as neither of i nor ii).
 
Your notation is what is making it difficult for yourself. Let A1 be the event A won the first game and A2 be the event A won the second game. So P(A1 and A2) = P(A1)P(A2).
 
No. The point is I can only use strict set intersection, or strict set union,

and not the informal ( but sometimes equivalent) 'E or E' , or E intersection E'.

Can you express the event of A winning twice as a _set intersection_ of

events.?.

I mean, define a sample space S of all outcomes, then take 2^S to be the

set of events.

Can you then express A winning twice as an intersection of any two elements in 2^S.?.


I don't mean in the form 'A and B' , but as an actual intersection of elements of 2^S.
 
Just to clarify my approach:

My sample space would be :

{A,B ; AA, AB, BA, BB ; AAA, AAB, ABA, ABB, BBB, ,BAA, BAB, BBA...}

And I don't see how 'AA' itself is an intersection. I am trying to avoid

product spaces.


I can see how to use intersection when, e.g., I throw a single fair

die, and I get the sample space : {1,2,3,4,5,6} , then 2^S is my

sample space, and the event : "even and larger than 3" is the intersection

of , e.g., { 2,4,6} and {4,6}. But once I throw the die twice , expressing

outcomes as intersections becomes more difficult. Can you express

an event as an intersection in this case.?
 
Each trial is a possible event, so a particular result of two trials is the intersection of the outcomes of each trial.
 

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