34 lines
722 B
Markdown
34 lines
722 B
Markdown
---
|
|
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 >}}
|