Sum of all probabilities is 1.
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.
To determine the missing probability P(4) in the table, we need to know the context and the total probabilities listed, as probabilities must sum up to 1. If you provide the other probabilities in the table, I can help you calculate P(4) by subtracting the sum of the known probabilities from 1. Please share the complete information for an accurate solution.