Disjoint vs. Independent Events in Probability

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SUMMARY

In probability theory, disjoint events are defined as mutually exclusive, meaning that if one event occurs, the probability of the other event occurring is zero. In contrast, independent events are those where the occurrence of one event does not affect the probability of the other event occurring. For example, if events A and B are independent, then P(A ∩ B) = P(A)P(B). However, if A and B are disjoint, then P(A ∩ B) = 0, indicating that they cannot occur simultaneously.

PREREQUISITES
  • Understanding of basic probability concepts
  • Familiarity with the definitions of independent and disjoint events
  • Knowledge of probability notation, including P(A) and P(A ∩ B)
  • Basic grasp of measure-theoretic axiomatization of probability
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  • Study the formal definitions of independent and disjoint events in probability theory
  • Explore examples of independent events using coin flips and dice rolls
  • Learn about the implications of independence and disjointness in statistical analysis
  • Investigate the measure-theoretic foundations of probability
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Students of probability, statisticians, and anyone seeking to clarify the concepts of independent and disjoint events in probability theory.

torquerotates
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In probability is there a difference between sets that are disjoint and sets that are independent.
 
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I don't know what it means for sets to be independent! I think you are asking about events that are mutually exclusive or independent. Two events, as sets of possible outcomes, are disjoint if and only if they the events are mutually exclusive. but you can't use the word "independent" in that way.

Yes, there is a very large difference! If two events are independent that means knowing one happens doesn't affect the probability that the other happens. If two events are mutually exclusive know that one happens means the probability of the other is 0! That certainly affects their probability.

If I roll a single die, what is the probability it comes up "5"? If I tell you the result was an even number what does that tell you about the probability it was a "5"?
 
In the measure-theoretic axiomatization of probability, you can regards sets as events, so this question is somewhat well-formed. And yes, there is a difference. You would say events (sets) A and B are independent if P(A n B)=P(A)P(B). If A and B are disjoint, then A n B = emptyset, so P( A n B ) = 0, so A and B are independent iff P(A)=0 or P(B)=0.
 
If there are an infinite number of natural numbers, and an infinite number of fractions in between any two natural numbers, and an infinite number of fractions in between any two of those fractions, and an infinite number of fractions in between any two of those fractions, and an infinite number of fractions in between any two of those fractions, and... then that must mean that there are not only infinite infinities, but an infinite number of those infinities. and an infinite number of those...

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