The probability based on an event that has already occurred is 100%. If the event has occurred, it has occurred.
May - or may not - be a conditional probability. A conditional probability is not becessarily chronologically structured.
It can be called a "conditional probability", but the word "conditional" is irrelevant if the two events are independent.
If the event has already happened, then the probability is 100%.
The two events are said to be independent.
The probability of event A occurring given event B has occurred is an example of conditional probability.
Historical events which have occurred have a probability of 1. They are a certainty. This refers to the event itself, not some historian's or politician's interpretation of what happened. However, the probability that they will occur again depends on the event. Exact recurrence is impossible (probability = 0).
no
In the context of significance tests, the value of 0.001 indicates a lesser likelihood that the event occurred by chance, that is a greater probability that it did not occur by chance.In the context of significance tests, the value of 0.001 indicates a lesser likelihood that the event occurred by chance, that is a greater probability that it did not occur by chance.In the context of significance tests, the value of 0.001 indicates a lesser likelihood that the event occurred by chance, that is a greater probability that it did not occur by chance.In the context of significance tests, the value of 0.001 indicates a lesser likelihood that the event occurred by chance, that is a greater probability that it did not occur by chance.
The likelihood of an event occurring is known as the probability of occurrence. This can be calculated based on previous patterns and other factors.
The probability of an impossible event is 0.The probability of an impossible event is 0.The probability of an impossible event is 0.The probability of an impossible event is 0.
this is called a a posteriori probability. based on some evidence, you are trying to estimate the likelyhood of the hypothesis.