Table of Contents

## When two events A and B are independent then P A & B is?

P(A/B) = P(A).

## When A and B are independent P A and B can be found by?

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.

**When 2 events a B are independent What is the probability of their intersection?**

Rule 5: If two events A and B are independent, then the probability of both events is the product of the probabilities for each event: P(A and B) = P(A)P(B). The chance of all of two or more events occurring is called the intersection of events.

**Are the events a B and C independent?**

Three events A, B, and C are independent if all of the following conditions hold P(A∩B)=P(A)P(B), P(A∩C)=P(A)P(C), P(B∩C)=P(B)P(C), Note that all four of the stated conditions must hold for three events to be independent.

### When events A and B are independent then P A and B P A P B?

Two events A and B are independent if and only if P(A∩B)=P(A)P(B). =P(A). Thus, if two events A and B are independent and P(B)≠0, then P(A|B)=P(A).

### How do you prove that events A and B are independent?

The events A and B are independent if P (A ∩ B) = P (A) P (B). Proof: From the definition of an independent event, we have P (A | B) = P (A) ⇒ P (A ∩ B) ⁄ P (B) = P (A) or, P (A ∩ B) = P (A) P (B). Here, P (B) ≠ 0.

**How do you find the independent events in a random experiment?**

If S is the sample space of the random experiment, A and B are any two events defined in this sample space. The two events A and B are said to be independent, that is Theorem 1 : If A and B are two independent events associated with a random experiment, then P (A⋂B) = P (A) P (B)

**How do you find the probability of two independent events?**

Theorem 1 : If A and B are two independent events associated with a random experiment, then P (A⋂B) = P (A) P (B) Probability of simultaneous occurrence of two independent events is equal to the product of their probabilities.

## How do you find the product of two independent events?

P (B / A) = P (B / A’) = P (B) and. P (AB) = P (A) * P (B) Theorem 1 : If A and B are two independent events associated with a random experiment, then P (A⋂B) = P (A) P (B) Probability of simultaneous occurrence of two independent events is equal to the product of their probabilities.