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What is P AB if A and B are independent?
Independence. Two events A and B are called independent if P(A|B)=P(A), i.e., if conditioning on one does not effect the probability of the other. Since P(A|B)=P(AB)/P(B) by definition, P(A)=P(AB)/P(B) if A and B are independent, hence P(A)P(B)=P(AB); this is sometimes given as the definition of independence.
What if A and B are independent?
Independent Events: Two events A and B are said to be independent if the fact that one event has occurred does not affect the probability that the other event will occur. If whether or not one event occurs does affect the probability that the other event will occur, then the two events are said to be dependent.
How do you prove two events A and B are independent?
Events A and B are independent if: knowing whether A occured does not change the probability of B. Mathematically, can say in two equivalent ways: P(B|A) = P(B) P(A and B) = P(B ∩ A) = P(B) × P(A).
When the first case is not replaced then the events are?
The outcome of the first roll does not change the probability for the outcome of the second roll. To show two events are independent, you must show only one of the above conditions. If two events are NOT independent, then we say that they are dependent. Sampling may be done with replacement or without replacement.
Are A and B independent justify?
A and B are independent if and only if P(A∩B)=P(A)P(B). In general, one cannot say whether two events are independent or not without knowing the actual probability distribution (though there are some exceptions).
Can an event be mutually exclusive and independent?
If two events are mutually exclusive then they do not occur simultaneously, hence they are not independent. Yes, there is relationship between mutually exclusive events and independent events.
What is the value of P a B?
p(A and B) = p(A) * p(B) = 0.4 * 0.0008 = 0.00032. That’s it! The formula is a little more complicated if your events are dependent, that is if the probability of one event effects another.
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