---
title: Statistics
date: '2021-01-01'
type: book
weight: 40
math: true
---

Introduction to statistics for data science.

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{{< 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 >}}
