The sum of the probabilities of all possible results is one (1). That's
just another way of saying that one of those results musthappen.
Sum of all probabilities is 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.
Yes.
The sum should equal to 1.
You find the event space for the random variable that is the required sum and then calculate the probabilities of each favourable outcome. In the simplest case it is a convolution of the probability distribution functions.
1
1.
Probabilities can never be negative. A probability distribution is defined as follows:Every event has a probability of occurring between 0 and 1, inclusive.The sum of the probabilities of each event occurring is 1.
one (1)