Probability plays a very important role in Data Science, as Data Scientist regularly attempt to draw statistical inferences that could be used to predict data or analyse data better.

Statistical inference is the process of using data analysis to deduce properties of an underlying distribution of probability (Source: Wikipedia), hence understanding random variables and their probability distributions is a required skill to work on many Data Science problems.

I am going to start this discussion by providing a scenario as we are going to be learning about probability distributions from this scenario.

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