False
No, it is not.
They are both measures of the likelihood of specified events.
1
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.
To calculate the probabilities of compound events, you can use the multiplication rule or the addition rule, depending on whether the events are independent or mutually exclusive. The multiplication rule is used when the events are independent, and you multiply the probabilities of the individual events. The addition rule is used when the events are mutually exclusive, and you add the probabilities of the individual events.
They are not!
Things and numbers don't have probabilities. Situations and events that can happen have probabilities.
The answer depends on if and how the events depend on one another.
If the events are independent then you can multiply the individual probabilities. But if they are not, you have to use conditional probabilities.
Two events are said to be independent if the outcome of one event does not affect the outcome of the other. Their probabilities are independent probabilities. If the events are not independent then they are dependent.
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.
Yes. no its not its false :from Scott Powell
False
No, it is not.
They are both measures of the likelihood of specified events.
Conditional probabilities arise when you revise the probabilities previously attached to some events in order to take new information into account. The revised probabilities are 'conditional on the new information you have received'.