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https://github.com/praisetompane/statistics

An attempt at unpacking statistics and its foundations in layman's terms.
https://github.com/praisetompane/statistics

statistics

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An attempt at unpacking statistics and its foundations in layman's terms.

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# What is Statistics?
![build status](https://github.com/praisetompane/statistics/actions/workflows/statistics.yaml/badge.svg)

## Objectives
- An attempt at unpacking statistics and its foundations in layman's terms.

## Definitions
- def statistics¹: tools to understand data (KhanAcademy).
- def statistics²: the science of developing and studying methods for *collecting*, *analyzing*, *interpreting* and *presenting* empirical data (UCI Department of Statistics).

- statistics types (KhanAcademy):
- def descriptive: describe large number dataset with a smaller set of numbers
- def inferential: predict behavior of dataset by determining behavior of a random sample from it.

## Dependencies
- [Docker](https://docs.docker.com/get-started/)

## Setup Instructions
- The repository is configured to use [devcontainers](https://containers.dev) for development.
- [Developing inside a Container](https://code.visualstudio.com/docs/devcontainers/containers)

## History

## Notation

## Tools

## State of the art

## Community

## Statisticians

## Testing
- ### Execute Tests
```shell
pytest
```

## Spell Check

```shell
pyspelling -c spellcheck.yaml
```

# References
- UCI Department of Statistics - Donald Bren School of Information & Computer Sciences. https://www.stat.uci.edu/what-is-statistics/.

## Legend
**Q**: Question for later research

**MYINC**: My Insight/Conjecture [Could Be Unoriginal/False and Likely Is]

**Disclaimer**: This is an ongoing and incomplete project to unpack these concepts and serves as my distributed memory.