Covariance Explained ← Probability & Statistics

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Socratica

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Covariance measures how two variables move together: whether they rise and fall in sync or move in opposite directions. In this video, we build intuition for what covariance means, walk through the formula step by step, and calculate it by hand with a simple example. We also explore how covariance plays a role in finance, physics, machine learning, and data analysis. This is a foundation you'll need before learning about correlation and multivariate analysis.

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Written & Produced by: Michael Harrison & Kimberly Hatch Harrison
Edited by: Alivia Brown

πŸŽ“ π˜Όπ˜½π™Šπ™π™ π™Šπ™π™ π™„π™‰π™Žπ™π™π™π˜Ύπ™π™Šπ™π™Ž:
Michael earned his BS in Math from Caltech, and did his graduate work in Math at UC Berkeley and University of Washington, specializing in Number Theory. A self-taught programmer, Michael taught both Math and Computer Programming at the college level. He applied this knowledge as a financial analyst (quant) and as a programmer at Google.

Kimberly earned her BS in Biology and another BS in English at Caltech. She did her graduate work in Molecular Biology at Princeton, specializing in Immunology and Neurobiology. Kimberly spent 16+ years as a research scientist and a dozen years as a biology and chemistry instructor.

Michael and Kimberly Harrison co-founded Socratica.
Their mission? To create the education of the future.

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#covariance #math #statistics