Discrete random variables have values obtained by counting. Continuous random variables have values obtained by measuring.
Let’s consider a business where John sells chickens. Consider following scenarios:
1. If he had to plot a probability distribution chart, where he recorded number of chickens sold every day for a given year- this would be an example of probability distribution of discrete random variables.
2. If he had to plot a probability distribution chart, where he recorded the weight of chickens sold everyday for a given year- this would be an example of probability distribution of continous random variables.
Let’s consider another scenario: Wherein John has a credit card machine to accept money for every sales made by him in selling chicken.
1. Number of credit card transactions done every day for a year would a probability distribution of a discrete random variable.
2. His average income per credit card transaction each day for a year would be a probability distribution of a continuous random variable.
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