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Multiply together the probability that each event would have of occurring by itself. For example, the probability of rolling a "3" on a single die is 1/6 ,because there are 6 different possibilities. And the probability of flipping a "heads" on a coin is 1/2 , because there are two possibilities. Then the probability of rolling a "3" AND flipping a "heads" is ; 1/6 x 1/2 = 1/12 .

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What is used to determine the probability of two independent events occurring?

It sounds like Bayesian statistics.


The probability of two independent events occurring together is the of the probability of each event occurring separately?

yss


Is the probability of two independent events occurring together the same as the probability of each occurring alone?

No, the combined probability is the product of the probability of their separate occurrances.


If the probability of two events occurring together is 0 the events are called .?

Independent events with a probability of zero


What is the probability of two independent events occurring together?

The probability of two independent events occurring together is the product of both events. yw lazy odyssey users like me :)


Is it true that two dependent events can have the same probability of occurring?

Yes, it is possible for two dependent events to have the same probability of occurring. The probability of an event is dependent on the outcomes of other events, and it is influenced by the relationship between these events. So, it is conceivable for two dependent events to have equal probabilities.


What is the definition of compound probability?

Two independent events occurring.


Probability of an event occurring to the probability that it won't occur?

These events are complementary. Let P(A) = probability event will occur. Then the probability it will not occur is: 1 - P(A).


What are the four basic rules of probability?

The four basic rules of probability are: Non-negativity: The probability of any event is always between 0 and 1, inclusive. Normalization: The total probability of all possible outcomes in a sample space sums to 1. Additive Rule: For mutually exclusive events, the probability of either event occurring is the sum of their individual probabilities. Multiplicative Rule: For independent events, the probability of both events occurring is the product of their individual probabilities.


When two events are independent the probability that one event occurs in no way affects the probability of the other event occurring true or false?

It is true.


What is the 'and' rule in probability?

If the probability of A is p1 and probability of B is p2 where A and B are independent events or outcomes, then the probability of both A and B occurring is p1 x p2. See related link for examples.


When two probabilities are multiplied is this a compound event?

Yes, when two probabilities are multiplied, it typically indicates a compound event, specifically in the context of independent events. This multiplication reflects the likelihood of both events occurring together. For instance, if you have two independent events A and B, the probability of both occurring is calculated by multiplying their individual probabilities: P(A and B) = P(A) × P(B). However, if the events are not independent, you would need to consider their relationship to determine the combined probability correctly.