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---
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 >}}
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