Set of all possible outcomes.
Since there is only one definition given, it has to be better than the ones which are not even featured!
Not sure about the "best" definition. It is the set of all possible outcomes for the event.
There is insufficient information in the question to properly answer it. You did not provide the list of "the following". Please restate the question. However, by definition of probability, a probability less than 0 (the event will never happen) or greater than 1 (the event will always happen) is impossible, so maybe that answers your question.
If an event is certain, the probability is 1.
Classical Probability!
Since there is only one definition given, it has to be better than the ones which are not even featured!
Not sure about the "best" definition. It is the set of all possible outcomes for the event.
It is the set of all possible outcomes.
It is the space consisting of all possible outcomes of the experiment.
There is insufficient information in the question to properly answer it. You did not provide the list of "the following". Please restate the question. However, by definition of probability, a probability less than 0 (the event will never happen) or greater than 1 (the event will always happen) is impossible, so maybe that answers your question.
There are three main methods for assigning probabilities Following the classical definition of probability Using relative frequencies Using subjective probability
A probability of 0 means the event is impossible.
If an event is certain, the probability is 1.
Discrete probability. It helps if the all the outcomes in the sample space are equally probable but that is not a necessity.
It means the set of all possible outcomes for the event.
Classical Probability!
Theoretical probability.