date: "2021-01-01" math: true title: Statistics type: book weight: 40
Introduction to statistics for data science.
{{< icon name="clock" pack="fas" >}} 1-2 hours per week, for 8 weeks
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 >}}
{{< spoiler text="What is the parameter $\mu$?" >}} The parameter $\mu$ is the mean or expectation of the distribution. {{< /spoiler >}}
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