Bayesian analysis is based on the principle that the true state of systems is unknown and is expressed in terms of its probabilities. These probabilities are improved as evidence is compiled.
I do not add probabilities to anybody!
Empirical probabilities.
Things and numbers don't have probabilities. Situations and events that can happen have probabilities.
If the events are independent then you can multiply the individual probabilities. But if they are not, you have to use conditional probabilities.
Bayesian analysis is based on the principle that the true state of systems is unknown and is expressed in terms of its probabilities. These probabilities are improved as evidence is compiled.
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.
I do not add probabilities to anybody!
Empirical probabilities.
Sum of all probabilities is 1.
Statistical Probabilities was created on 1997-11-22.
The sum of the probabilities of all possible outcomes is 1.
False
Things and numbers don't have probabilities. Situations and events that can happen have probabilities.
The fact that probabilities are proportions means that they are less than or equal to 1.
Michel Simonnet has written: 'Measures and probabilities' -- subject(s): Probabilities, Measure theory
If the events are independent then you can multiply the individual probabilities. But if they are not, you have to use conditional probabilities.