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diff --git a/exampleSite/content/courses/example/stats.md b/exampleSite/content/courses/example/stats.md deleted file mode 100644 index 251a5013..00000000 --- a/exampleSite/content/courses/example/stats.md +++ /dev/null @@ -1,33 +0,0 @@ ---- -title: Statistics -date: '2021-01-01' -type: book -weight: 40 -math: true ---- - -Introduction to statistics for data science. - -<!--more--> - -{{< icon name="clock" pack="fas" >}} 1-2 hours per week, for 8 weeks - -## Learn - -The general form of the **normal** probability density function is: - -$$ -f(x) = \frac{1}{\sigma \sqrt{2\pi} } e^{-\frac{1}{2}\left(\frac{x-\mu}{\sigma}\right)^2} -$$ - -{{< callout note >}} -The parameter $\mu$ is the mean or expectation of the distribution. -$\sigma$ is its standard deviation. -The variance of the distribution is $\sigma^{2}$. -{{< /callout >}} - -## Quiz - -{{< spoiler text="What is the parameter $\mu$?" >}} -The parameter $\mu$ is the mean or expectation of the distribution. -{{< /spoiler >}} |