Which of the is not true for a discrete random variable X?*Option 4Option 1Option 3

To determine which statement is not true for a discrete random variable $X$, we need to consider the characteristics of discrete random variables.

1. Definition of a Discrete Random Variable: A discrete random variable takes on a countable number of possible values. This means it can take values like 0, 1, 2, and so on, but not values that are continuous or uncountable.

2. Probability Mass Function (PMF): Discrete random variables have a probability mass function that assigns probabilities to each of the discrete outcomes. The sum of the probabilities must equal 1.

3. Cumulative Distribution Function (CDF): The cumulative distribution function of a discrete random variable is a function that gives the probability that the random variable is less than or equal to a certain value.

To assess each option, you would typically look for a statement that contradicts the properties mentioned above. Without knowing the actual content of the options, I can't specify which is not true. Please provide the options so I can identify which one is incorrect.