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

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SUMMARY

The probability of the union of two disjoint sets A and B is expressed as P(A U B) = P(A) + P(B). This holds true because disjoint events do not overlap, meaning their intersection P(A ∩ B) equals zero. An intuitive understanding can be gained by visualizing events as shapes in a Venn diagram, where the total area represents the combined probabilities without any double counting. For example, rolling a die shows that the probability of getting an odd number (1/2) or a four (1/6) results in a total probability of 2/3 when added together.

PREREQUISITES
  • Understanding of basic probability concepts
  • Familiarity with disjoint events
  • Knowledge of Venn diagrams
  • Basic arithmetic operations with fractions
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  • Study the concept of Venn diagrams in probability
  • Learn about the general probability formula P(A U B) = P(A) + P(B) - P(A ∩ B)
  • Explore examples involving dice and coins to solidify understanding of disjoint events
  • Investigate more complex probability scenarios involving overlapping events
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Students of probability theory, educators teaching basic statistics, and anyone seeking to understand the fundamentals of probability and event relationships.

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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