In this episode, we continue laying the foundations of our mathematical treatment of risk. In particular, we introduce the cumulative distribution function, or CDF, as a tool for describing the probabilistic behavior of a random variable. We illustrate this with a simple example and discuss the basic characteristics of this interesting non-decreasing function, which will soon help us address very practical matters.Are you ready to take the risk and follow Galileo's suggestion?Become a supporter of this podcast: https://www.spreaker.com/podcast/the-logic-of-risk--6469023/support.
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LOR18: Introducing (simple) moments
LOR17: Extremes and Outliers
LOR16: The quantile function, the survival function and the PDF
LOR14: Sigma-algebras and probability spaces
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