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--- | ||
title: "Variance" | ||
format: | ||
html: | ||
toc: true | ||
--- | ||
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## Overview | ||
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**Variance** is a quantitative measurement of the *spread* of a set of data | ||
around the mean of the data. | ||
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![Varying Distributions](distributions.png){width=50%} | ||
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In descriptive statistics, variance is used to describe the distribution of a | ||
sample or population. In inferential statistics, variance is a measurement used | ||
to measure the expected variability of a *random variable^a^*. | ||
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:::{.column-margin} | ||
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*^a^Random variables* are functions that map sample spaces (e.g., $\{ H, T \}$ is | ||
the sample space of a coin flip) to a measurable space (e.g., $\{ H: 0, T: 1 | ||
\}$). By definition, a random variable generates values that vary *randomly* | ||
[@wiki:Random_variable; @psu_stat500]. | ||
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::: | ||
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## References | ||
:::{#refs} | ||
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::: |
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