In this episode we introduce moments, the bedrock of studying random variables and risk.We begin with a concise overview, then zero in on simple (raw) moments, the foundation upon which central and standardized moments are built. You’ll learn how to compute an expected value (the first moment) and how to extend the same principles to higher-order simple moments.Are you ready to take the risk?Become a supporter of this podcast: https://www.spreaker.com/podcast/the-logic-of-risk--6469023/support.
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LOR17: Extremes and Outliers
LOR16: The quantile function, the survival function and the PDF
LOR15: The cumulative distribution function of a random variable
LOR14: Sigma-algebras and probability spaces
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