What Is P AUB If A And B Are Independent?

What is PAUB if A and B are independent?

If two events, A and B, are mutually exclusive, then P(AUB) = P(A) + P(B). This follows immediately from (3). Since A and B are mutually exclusive, n (A ∩ B) = 0 and therefore P (A ∩ B) = 0.

What is P A or B if A and B are independent?

Independence. Two events A and B are said to be independent if P(A | B) = P(A), that is, if the conditionality of one does not affect 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, that is, P(A)P (B) = P (AB) Sometimes given as a definition of independence.

How to find P AUB when A and B are independent?

4 answers. If the events A and B are independent, then P(A∩B) = P(A) P(B) and not necessarily 0.

What if A and B are independent?

The events A and B are independent if the equality P (A ∩ B) = P (A) P (B) holds. You can use an equation to make sure the events are independent. Multiply the probabilities of two events together to see if they are equal to the probabilities of both events happening together.

What are PA and B if A and B are independent?

Independence. Two events A and B are said to be independent if P (A | B) = P (A), that is, if the conditionality of one of them does not affect the probability of the other.

What if A and B were independent events?

The events A and B are independent if the equality P (A ∩ B) = P (A) P (B) holds. You can use an equation to make sure the events are independent. Multiply the probabilities of two events together to see if they are equal to the probabilities of both events happening together.

What are PA and B if A and B are independent?

Independence. Two events A and B are said to be independent if P (A | B) = P (A), that is, if the conditionality of one of them does not affect the probability of the other.

How to find P AUB when A and B are independent?

If A and B are independent events, then events A and B are also independent events. Proof: Events A and B are independent, so P(A ∩ B) = P(A) P(B). From the Venn diagram, we see that the events A ∩ B and A ∩ B are mutually exclusive and together they form the event A.

How much is PA ∪ B if A and B are independent?

Two events A and B are independent if knowing that one of them will occur does not change the probability of the other. This is often known as the multiplication rule. If A and B are independent, then P(A and B) = P(A) P(B) P(A and B) = P(A) P(B).

How to find the P AUB value?

P(A U B) = P(A) + P(B) P(A ∩ B)

How to find the probability of A and B if they are addicted?

If A and B are dependent events, given A, the probability of A occurring AND the probability of B occurring is P(A) × P(B after A).

Is it possible that A and B are independent?

Two events A and B are independent if the knowledge that one of them has happened does not affect the probability that the other will happen. … If the sampling is done with substitution, the events are considered independent, meaning that the outcome of the first choice does not change the probabilities of the second choice.

What does it mean when events A and B are independent?

Two events A and B are said to be independent if the occurrence of one event does not affect the probability of the other event occurring. If the occurrence of one event affects the probability of another event occurring, the two events are said to be dependent.

Can A and B be independent and mutually exclusive?

The definition of mutually exclusive (non-overlapping) means that two events cannot occur together. Given two events, A and B, they are mutually exclusive if (A P B) = 0. If these two events are mutually exclusive, they cannot be independent.

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