Probability - Independent events with minimal points in sample space

In summary, the minimum number of points in a sample space for the existence of n independent events with non-zero and non-one probabilities is approximately ##\ln_2(n+2)##. However, it is uncertain if this number of points would guarantee independence among the events.
  • #1
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Homework Statement


What is the minimum number of points a sample space must contain in order that there exists n independent events A_1, ..., A_n , none of which has probability zero or one?

Homework Equations


None at this time

The Attempt at a Solution


I was thinking that if each A_i consisted of one point in the sample space, that then they would all be independent. But it seems that this is definitely not the minimum number of points. Any hints at this would be greatly appreciated.

Thanks!
 
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  • #2
Hmmm. A set of size n has ##2^n## subsets, counting the empty subset and the whole set. So if you want ##n+2## subsets you need ##\ln_2(n+2)##, rounded up to an integer, elements in the set. Whether or not you can make them independent is another question.
 

What is the definition of independent events in probability?

Independent events in probability refer to events that do not affect each other's probabilities. This means that the outcome of one event does not impact the outcome of the other event.

Can two events be considered independent if they are not completely unrelated?

Yes, two events can still be considered independent if they are not completely unrelated. For example, flipping a coin and rolling a dice are two different events, but they can still be considered independent.

How can you determine if two events are independent?

You can determine if two events are independent by multiplying their individual probabilities. If the result is the same as the probability of both events occurring, then they are independent. For example, if the probability of event A is 1/4 and the probability of event B is 1/2, then the probability of both events occurring is 1/4 x 1/2 = 1/8, which is the same as the probability of both events occurring.

Can independent events occur simultaneously?

Yes, independent events can occur simultaneously. This means that both events can happen at the same time without affecting each other's probability. For example, rolling a dice and flipping a coin are independent events that can occur simultaneously.

What is the importance of understanding independent events in probability?

Understanding independent events in probability is essential because it allows us to accurately calculate the likelihood of multiple events occurring simultaneously. This is especially important in fields such as statistics, finance, and science where predicting the probability of multiple outcomes is crucial.

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