Data Science and Machine Learning (Theory and Projects) A to Z - Random Variables: Random Variables Examples Solution 01

The video tutorial explains the concept of impossible events, typically described as empty events, and highlights the difference between discrete and continuous random variables. It clarifies that while the probability of a specific value in a continuous random variable is zero, it does not imply an empty set. The tutorial concludes by affirming that for discrete variables, the probability corresponds to an empty event.

Discuss the implications of having a non-empty set in the context of probability.

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How does the treatment of probability differ between discrete and continuous random variables?

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