The sum of the probabilities of all possible outcomes is 1.
(1) That the probabilities lie between 0 and 1. (2) The sum of all probabilities of the distribution sum up to 1.
The sum should equal to 1.
one (1)
expected value
The sum of the probabilities of all possible outcomes is 1.
One.
(1) That the probabilities lie between 0 and 1. (2) The sum of all probabilities of the distribution sum up to 1.
The sum should equal to 1.
1
1.
The sum of the probabilities of all possible results is one (1). That'sjust another way of saying that one of those results musthappen.
one (1)
A probability must be a real number in the interval [0, 1]. The sum (or integral) of the probabilities over all possible values must be 1.
expected value
It is a real number. It cannot be negative. The sum of the probabilities of all possible outcomes of a discrete variable is 1. Similarly, the integral of the probabilities over the whole range of possible outcomes of a continuous variable is 1.
Yes but it is not possible to attach any interpretation to that. The addition of probabilities makes sense only if they are mutually exclusive outcomes of the same trial. If they are, then their sum cannot be greater than 1.