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If the probability of two events occurring together is 0, the events are called mutually exclusive. This means that the occurrence of one event precludes the occurrence of the other, so they cannot happen at the same time. For example, flipping a coin can result in either heads or tails, but not both simultaneously.
What else can I help you with?
The probability of two independent events occurring together is the of the probability of each event occurring separately?
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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.
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 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.
What is used to determine the probability of two independent events occurring?
It sounds like Bayesian statistics.
If the probability of two events occurring together is 0 the events are called .?
Independent events with a probability of zero
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.
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 is used to determine the probability of two independent events occurring?
It sounds like Bayesian statistics.
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 principle of additivity?
The principle of additivity states that the probability of the union of two mutually exclusive events is equal to the sum of their individual probabilities. This means that when events are mutually exclusive (cannot both occur at the same time), their probabilities can be added together to find the probability of either event occurring.
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.
What is used to determine the probability of two indepepdent events occurring?
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 .
