It sounds like Bayesian statistics.
yss
No, the combined probability is the product of the probability of their separate occurrances.
Divide the number of events that can happen a certain way by the number of all possible events.
If the probability of an event is 0.02, then the probability of two such events occurring is 0.022 or 0.0004.
An independent event is an occurrence in probability theory where the outcome of one event does not affect the outcome of another. For example, flipping a coin and rolling a die are independent events; the result of the coin flip does not influence the die roll. This concept is crucial in statistics and probability, as it helps in calculating the likelihood of multiple events occurring simultaneously.
yss
Independent events with a probability of zero
Two independent events occurring.
The probability of two independent events occurring together is the product of both events. yw lazy odyssey users like me :)
No, the combined probability is the product of the probability of their separate occurrances.
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.
What is the difference between dependant and independent events in terms of probability
The product rule states that the probability of two independent events occurring together is equal to the product of their individual probabilities. In genetics, the product rule is used to calculate the probability of inheriting multiple independent traits or alleles simultaneously from different parents.
Divide the number of events that can happen a certain way by the number of all possible events.
If the probability of an event is 0.02, then the probability of two such events occurring is 0.022 or 0.0004.
Independent Events