Discrete random variables refer to variables that can only take on specific values within a certain range or set. These values usually have gaps or intervals between them and cannot be measured with complete precision.
Think of a vending machine that only dispenses whole numbers of candies. The number of candies you get can only be specific values like 1, 2, 3, and so on. You can't get fractions or decimals like 1.5 or 2.75.
Continuous Random Variables: Unlike discrete random variables, continuous random variables can take on any value within a certain range or interval.
Probability Distribution: A probability distribution is a function that describes the likelihood of different outcomes in an experiment or event.
Expected Value: The expected value is the average value we expect to obtain from a random variable over many repetitions of an experiment.
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