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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 .

Q: What is used to determine the probability of two indepepdent events occurring?

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It sounds like Bayesian statistics.

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

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.

Mathematical probability is a branch of mathematics that deals with the measurement and analysis of uncertainty or randomness in various events or outcomes. It involves using mathematical models and formulas to determine the likelihood or chance of particular events occurring, based on known information and assumptions about the situation. Probability is often expressed as a number between 0 and 1, where 0 represents impossibility and 1 represents certainty.

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It sounds like Bayesian statistics.

yss

Independent events with a probability of zero

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

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

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.

Two independent events occurring.

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

It is true.

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.

The probability of at least one event occurring out of several events is equal to one minus the probability of none of the events occurring. This is a binomial probability problem. Go to any binomial probability table with p=0.2, n=3 and the probability of 0 is 0.512. Therefore, 1-0.512 is 0.488 which is the probability of at least 1 sale.

The calculation is equal to the sum of their probabilities less the probability of both events occuring. If two events are mutually exclusive then the combined probability that one or the other will occur is simply the sum of their respective probabilities, because the chance of both occurring is by definition zero.