A probability distribution describes how probabilities are distributed over the possible outcomes of a random variable.
Each outcome must have a probability assigned to it, and the sum of all these probabilities must equal one.
For a distribution to be valid:
All probabilities must be non-negative.
The sum of all probabilities must equal 1.
The principle mentioned in your statement presents a concept or belief regarding probability distributions, but it encounters a fundamental issue:
Sum of Values Does Not Equal One: This indicates it's not a valid probability distribution.
Calculate the sum of all given probability values.
Check if the total equals one.
If the sum is not equal to one, the distribution cannot be considered valid. Therefore, it's crucial to ensure that all probabilities in a distribution sum up to one before proceeding with any application or further analysis.