Intuitive explanation for P(A U B) = P(A) + P(B)

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Discussion Overview

The discussion revolves around the intuitive understanding of the probability formula P(A U B) = P(A) + P(B) for disjoint sets A and B. Participants seek clarity on why the probabilities are added and explore examples to illustrate the concept.

Discussion Character

  • Exploratory
  • Conceptual clarification
  • Mathematical reasoning

Main Points Raised

  • Some participants express uncertainty about the reasoning behind adding the probabilities of disjoint events and seek intuitive explanations.
  • One participant provides an example involving a die to illustrate the addition of probabilities for disjoint events, questioning what the probability should be.
  • Another participant reflects on their understanding, suggesting that the events can be grouped as a single event and noting the importance of the sample space remaining constant.
  • A later reply introduces the general formula P(A U B) = P(A) + P(B) - P(A ∩ B) and explains that for disjoint events, P(A ∩ B) equals zero.
  • One participant acknowledges the clarity gained from the discussion and expresses appreciation for the explanation provided.

Areas of Agreement / Disagreement

Participants generally agree on the addition of probabilities for disjoint events, but there is still some uncertainty regarding the intuitive understanding of the concept. The discussion remains exploratory without a definitive consensus on all aspects.

Contextual Notes

Participants reference examples and concepts such as sample spaces and Venn diagrams, but the discussion does not resolve all uncertainties or assumptions regarding the intuitive explanation of the probability formula.

physio
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Hello,

I am unsure as to why the probability of A U B = P(A) + P(B) for sets A and B being disjoint. Why do we add the two probabilities? Is it because the sample space remains the same but now we add the numerators as the number of events have increased and that is why we are adding the two?? Can anyone give me a good intuitive explanation? I tried solving the problem myself but I cannot figure out how to arrive at the answer. An intuitive explanation will really help. Thanks in advance for your answers!
 
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physio said:
Hello,

I am unsure as to why the probability of A U B = P(A) + P(B) for sets A and B being disjoint. Why do we add the two probabilities? Is it because the sample space remains the same but now we add the numerators as the number of events have increased and that is why we are adding the two?? Can anyone give me a good intuitive explanation? I tried solving the problem myself but I cannot figure out how to arrive at the answer. An intuitive explanation will really help. Thanks in advance for your answers!

What reason do you have to doubt this? It's difficult to know how to explain this unless you can describe what you see as the probability of two disjoint events? Let's take an example:

The probability a die comes up odd is 1/2. And the probability it comes up 4 is 1/6. So, the probability it is either odd or 4 is 1/2 + 1/6 = 2/3.

What do you think it should be?
 
Thank you for your answer. I think I understand now. Please do let me know if my explanation is correct. In your example, we are adding the two events (it is odd and number is 4) and grouping them as a single event and hence it is addition. Moreover, the sample space remains the same i.e. 6 alternatives possible. This also brings me to the conclusion that we have to subtract the element counted more than once. Thanks! Do let me know.
 
physio said:
Thank you for your answer. I think I understand now. Please do let me know if my explanation is correct. In your example, we are adding the two events (it is odd and number is 4) and grouping them as a single event and hence it is addition. Moreover, the sample space remains the same i.e. 6 alternatives possible. This also brings me to the conclusion that we have to subtract the element counted more than once. Thanks! Do let me know.

As you may know, in general:

##P(A \cup B) = P(A) + P(B) - P(A \cap B)##

Perhaps the simplest way is to think of events as shapes and the probability as the area of the shape and use Venn diagrams.

In the special case where ##A## and ##B## are disjoint (which means they can't both happen), then ##P(A \cap B) = 0##

I would tend to think of this in terms of simple examples (like coins, dice and cards) and then abstract that inituitive understanding into the abstract notation of sample spaces and events.
 
@PeroK : Thank you for your explanation. Got me to realize why P(AUB) = P(A) + P(B)!
 

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