Independent and dependent events-conditional probability

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Discussion Overview

The discussion revolves around the concepts of independent and dependent events in the context of conditional probability, specifically related to rolling two dice. Participants explore the probability of rolling an even number given that both dice show the same number, and they analyze the definitions and calculations involved in determining independence between the events.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • One participant calculates the probability of rolling an even number given that both dice are the same, suggesting P(B|A) = 0.5 based on their reasoning.
  • Another participant questions the independence of events A (both dice are the same) and B (both dice are even), prompting a discussion on the necessary calculations to confirm independence.
  • A participant restates the question to clarify the probability of the second die having the same parity as the first die.
  • There is a correction regarding the notation of events, with one participant asserting that the notation for event B is incorrect and should be defined within the context of event A.
  • Participants discuss the calculations for P(A), P(B), and P(A and B), with some asserting that the events are dependent based on their calculations.
  • One participant expresses confusion over the definitions and calculations, while others attempt to clarify the relationships between the events and their probabilities.
  • There is acknowledgment of the importance of correctly labeling sets and computations in probability discussions.

Areas of Agreement / Disagreement

Participants generally agree that the events are not independent, as indicated by their calculations. However, there is no consensus on the correct labeling of sets and the computation of probabilities, leading to some confusion and differing interpretations of the problem.

Contextual Notes

Limitations include potential misunderstandings of event notation and the definitions of independence and conditional probability. Some participants express uncertainty about their calculations and the implications of their findings.

Who May Find This Useful

This discussion may be useful for those studying probability theory, particularly in understanding conditional probabilities and the concept of independence in events involving multiple outcomes.

Bassalisk
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Lets say I roll 2 dice.

We have 36 possible elementary events.

I want to know what is the probability that I rolled an even number, given that I rolled both same dice.

So my event A={<1,1>, <2,2>, <3,3>, <4,4>, <5,5>, <6,6>}
My event B={<2,2>, <4,4>,<6,6>}

Conditional probability is,

P(B|A)=P(A and B)/P(A) = 0.5

I mean its intuitive, if I rolled the both dice with the same number I have 50:50 percent chance that I got an even number.

Now are these events independent? My gut is telling me that they aren't and math is confirming that.

This is an example I worked out myself, to try to explain this to myself, so I just need somebody to confirm it.
 
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Bassalisk said:
Now are these events independent? My gut is telling me that they aren't and math is confirming that.

You haven't done the math to test whether the events are independent.
Is P(A|B) = P(A)? Is P(B|A) = P(B)?
 
Hi Bassalisk! :smile:
Bassalisk said:
I want to know what is the probability that I rolled an even number, given that I rolled both same dice.

hmm :rolleyes: … let's restate the question, to make it easier :wink:

"what is the probability that the second die has the same parity (remainder on division by 2) as the first die?"​
 
Stephen Tashi said:
You haven't done the math to test whether the events are independent.
Is P(A|B) = P(A)? Is P(B|A) = P(B)?

It doesn't give those equalities, so they are dependent?
 
tiny-tim said:
Hi Bassalisk! :smile:hmm :rolleyes: … let's restate the question, to make it easier :wink:

"what is the probability that the second die has the same parity (remainder on division by 2) as the first die?"​

Hmmm I don't think I follow. I am as good with probability, as our politicians are with our countries.
 
Last edited:
Bassalisk said:
It doesn't give those equalities


What doesn't give those inequaliies? You haven't shown any computation for P(B) or P(A).

By the way, your notation B = {(2,2),(4,4),(6,6) } is incorrect. That set should be named "B|A".

The set "B" is {(2,1),(2,2),(2,3)...(4,1),(4,2)... etc.
 
Stephen Tashi said:
What doesn't give those inequaliies? You haven't shown any computation for P(B) or P(A).

By the way, your notation B = {(2,2),(4,4),(6,6) } is incorrect. That set should be named "B|A".

The set "B" is {(2,1),(2,2),(2,3)...(4,1),(4,2)... etc.

Give me a minute.

I thought B was my second event.

I wanted to both dice have the same and even number. Those were 22 44 66.

Probability that I rolled same numbers on both dice is: 6/36 right?

Probability that I rolled same numbers on both dice, and they are even, is 3/36

correct?


P(A and B)=3/36 (intersection between my original 2 sets)

P(B|A)=P(A and B)/P(A)

That is

P(B|A)=3/36/6/36 =1/2


If I carry on that test we spoke of:

P(A and B)=P(A)*P(B)

P(A and B)=6/36 * 3/36 = 18/36 which is not P(A and B) which equals 3/36

Where am I making a mistake, why did you define that second set the way you did?
 
Bassalisk said:
why did you define that second set the way you did?

There is an important convention involving the notation P(X|Y).

In the notation P(X), X is an "event" or set in some space of events. The space in your in your problem is all possible outcomes of rolling two fair dice = {(1,1),(1,2)..(1,6)...(6,1)...etc. }

The notation P(X|Y) expresses the idea that you change both the set X that is considered and also the space of outcomes. The space of outcomes is now the event Y, not the entire space implied in the notation P(X) The event that we consider within that new space of outcomes is the set X \cap Y

Both the notation P(X \cap Y) and P(X|Y) refer to the event given by X \cap Y but P(X|Y) refers to that set as an event in "smaller" probability space than the space implied by P(X \cap Y).

B is the event "you roll an even number". The standard mathematical interpretation of that is that you roll at least one even number in two rolls. This includes the cases where you roll an even number only on the first roll, the cases where you roll an even number only on the second roll and the cases where you roll an even number on both rolls. That's why I listed such possibilities.

The event B|A refers to the event "you roll and even number within the space of events defined by both rolls being the same". This is the set {(2,2),(4,4),(6,6)} which you listed.
 
Stephen Tashi said:
There is an important convention involving the notation P(X|Y).

In the notation P(X), X is an "event" or set in some space of events. The space in your in your problem is all possible outcomes of rolling two fair dice = {(1,1),(1,2)..(1,6)...(6,1)...etc. }

The notation P(X|Y) expresses the idea that you change both the set X that is considered and also the space of outcomes. The space of outcomes is now the event Y, not the entire space implied in the notation P(X) The event that we consider within that new space of outcomes is the set X \cap Y

Both the notation P(X \cap Y) and P(X|Y) refer to the event given by X \cap Y but P(X|Y) refers to that set as an event in "smaller" probability space than the space implied by P(X \cap Y).

B is the event "you roll an even number". The standard mathematical interpretation of that is that you roll at least one even number in two rolls. This includes the cases where you roll an even number only on the first roll, the cases where you roll an even number only on the second roll and the cases where you roll an even number on both rolls. That's why I listed such possibilities.

The event B|A refers to the event "you roll and even number within the space of events defined by both rolls being the same". This is the set {(2,2),(4,4),(6,6)} which you listed.

Hmmm. But what is the probability P(B|A) then?. I want to find the probability, that i rolled both even numbers, given that I rolled 2 same numbers before. 50% chance is something that is intuitive to me...
 
  • #10
I agree with your work and your answer for P(B|A).

However, If you are writing out the answer to this problem, you need to label the sets correctly.

You should indicate how you computed P(B) if you use that number. In your work, It looks like you are saying P(B) = 3/36. I don't think that is correct.
 
  • #11
I think he's getting confused.

They are not independent. A=two dice are the same. B=two dice are even.

P(AB) = probability of the intersection = 3/36 =1/12

But P(A) = 1/6 and P(B) = 1/4 (You can have ee, oo, eo, oe all with equal prob)

Since P(AB) is not equal to P(A)P(B) then the events are not independent.

In fact, P(B given A) = P(AB)/P(A) = (1/12)/(1/6) = 1/2
 
  • #12
alan2 said:
I think he's getting confused.

They are not independent. A=two dice are the same. B=two dice are even.

P(AB) = probability of the intersection = 3/36 =1/12

But P(A) = 1/6 and P(B) = 1/4 (You can have ee, oo, eo, oe all with equal prob)

Since P(AB) is not equal to P(A)P(B) then the events are not independent.

In fact, P(B given A) = P(AB)/P(A) = (1/12)/(1/6) = 1/2

Makes sense thank you!
 
  • #13
Stephen Tashi said:
I agree with your work and your answer for P(B|A).

However, If you are writing out the answer to this problem, you need to label the sets correctly.

You should indicate how you computed P(B) if you use that number. In your work, It looks like you are saying P(B) = 3/36. I don't think that is correct.

Yes I am sloppy with the notation. Thank you for addressing that, I am really trying to grasp this concept.

Again, you have been very helpful. I understand what I was missing now.
 
  • #14
You are welcome. Keep it simple.
 
  • #15
alan2 said:
B=two dice are even.

OK, I see that point of view.

The question is whether the problem says

1. "In a throw of two fair dice, is the event of rolling an even number (meaning at least one die shows an even number) independent of the event of rolling two identical numbers?"

Or is the problem:

2. "In a throw of two fair dice is the event of rolling an even number given that the two dice show identical numbers independent of the event that the two dice show identical numbers."

I was assuming the question was 1. If the equestion is 2, then my criticism of how the set B is labeled is incorrect. Bassalisk, what is the precise statement of the problem?
 
  • #16
Stephen Tashi said:
OK, I see that point of view.

The question is whether the problem says

1. "In a throw of two fair dice, is the event of rolling an even number (meaning at least one die shows an even number) independent of the event of rolling two identical numbers?"

Or is the problem:

2. "In a throw of two fair dice is the event of rolling an even number given that the two dice show identical numbers independent of the event that the two dice show identical numbers."

I was assuming the question was 1. If the equestion is 2, then my criticism of how the set B is labeled is incorrect. Bassalisk, what is the precise statement of the problem?

That 2nd one. I was asking this:

If I rolled 2 identical numbers. like 11 or 22 or anything from my set A. What is the chance that I got both even numbers? 2nd part of the question was:

Are these 2 events independent of each other. That is: Is having rolled both even numbers, dependent of rolling 2 same numbers.
 

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