# If events a and b are independent, what must be done to find the probability of event a and b?

## How do you find the probability of A and B if they are dependent?

If they are dependent, then P(A and B) = P(A)*P(B|A) which is the probability of A times the probability of “B happening if A has occurred,” which is different than the “Probability of B if A has not occurred.”

## How do you know if an A and B is independent?

Events A and B are independent if the equation P(A∩B) = P(A) · P(B) holds true. You can use the equation to check if events are independent; multiply the probabilities of the two events together to see if they equal the probability of them both happening together.

## What is the probability that event A or event B will occur?

conditional probability

## What does it mean for two events A and B to be statistically 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) … Important to distinguish independence from mutually exclusive which would say B ∩ A is empty (cannot happen).

## What is the probability of a given b?

The conditional probability of an event B is the probability that the event will occur given the knowledge that an event A has already occurred. This probability is written P(B|A), notation for the probability of B given A.

## How do you find the probability of a given b?

If A and B are two events in a sample space S, then the conditional probability of A given B is defined as P(A|B)=P(A∩B)P(B), when P(B)>0.

## What is an example of an independent event?

Definition: Two events, A and B, are independent if the fact that A occurs does not affect the probability of B occurring. Some other examples of independent events are: Landing on heads after tossing a coin AND rolling a 5 on a single 6-sided die. Choosing a marble from a jar AND landing on heads after tossing a coin.

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## How do you know if two variables are independent?

You can tell if two random variables are independent by looking at their individual probabilities. If those probabilities don’t change when the events meet, then those variables are independent. Another way of saying this is that if the two variables are correlated, then they are not independent.

## What is the conditional probability of A and B are independent?

A conditional probability can always be computed using the formula in the definition. Sometimes it can be computed by discarding part of the sample space. Two events A and B are independent if the probability P(A∩B) of their intersection A∩B is equal to the product P(A)⋅P(B) of their individual probabilities.

## What is the probability of an event that Cannot occur?

The probability of an event is a number describing the chance that the event will happen. An event that is certain to happen has a probability of 1. An event that cannot possibly happen has a probability of zero. If there is a chance that an event will happen, then its probability is between zero and 1.

## Can the probability of an event be greater than 1?

The probability of an event will not be more than 1. This is because 1 is certain that something will happen.

zero probability

## How do you know if a Venn diagram is independent?

Consider the following Venn diagram. If P(A)=P(A if we know B) we call them independent, because knowing B does not change the probability of A. This is equivalent to P(A)=P(A and B)÷P(B)=n(A and B)n(S)÷n(B)n(S)=n(A and B)n(B)=P(A if we know B)

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## What does P B A mean?

P(B|A) means “Event B given Event A” In other words, event A has already happened, now what is the chance of event B? P(B|A) is also called the “Conditional Probability” of B given A.