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  • https://stats.libretexts.org/Courses/Saint_Mary's_College_Notre_Dame/DSCI_500B_Essential_Probability_Theory_for_Data_Science_(Kuter)/03%3A_Discrete_Random_Variables/3.01%3A_Introduction_to_Random_Variables
    The advantage to defining the random variable \(X\) in this context is that the two outcomes \(ht\) and \(th\) are both assigned a value of \(1\), meaning we are not focused on the actual sequence of ...The advantage to defining the random variable \(X\) in this context is that the two outcomes \(ht\) and \(th\) are both assigned a value of \(1\), meaning we are not focused on the actual sequence of heads and tails that resulted in obtaining one heads. A discrete random variable is a random variable that has only a finite or countably infinite (think integers or whole numbers) number of possible values.

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