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author | George Cushen <gcushen@users.noreply.github.com> | 2021-01-24 22:56:32 +0300 |
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committer | George Cushen <gcushen@users.noreply.github.com> | 2021-01-24 22:56:32 +0300 |
commit | f39774e9814c6e1ab830b570ea1d6eca1c014504 (patch) | |
tree | ee193f3e4c1c6567ed625d155ec3a63f436d57a5 /exampleSite/content/courses/example/stats.md | |
parent | 52d95d75745808de3f5f067948309ae5f9c53e22 (diff) |
feat: add a more practical example course
Diffstat (limited to 'exampleSite/content/courses/example/stats.md')
-rw-r--r-- | exampleSite/content/courses/example/stats.md | 33 |
1 files changed, 33 insertions, 0 deletions
diff --git a/exampleSite/content/courses/example/stats.md b/exampleSite/content/courses/example/stats.md new file mode 100644 index 00000000..251a5013 --- /dev/null +++ b/exampleSite/content/courses/example/stats.md @@ -0,0 +1,33 @@ +--- +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 >}} |