---
title: "Activity 1"
author: "Jonathan W. Duggins" 
date: "August 9, 2023"
output: html_document
---
<!--Make sure the title has your name in it!-->

# Statistics vs. Data Science

## Statistics

According to [Wikipedia](https://en.wikipedia.org/wiki/Statistics), "**[s]tatistics** is the discipline that concerns the collection, organization, analysis, interpretation, and presentation of data. In applying statistics to a scientific, industrial, or social problem, it is conventional to begin with a statistical population or a statistical model to be studied. Populations can be diverse groups of people or objects such as "all people living in a country" or "every atom composing a crystal". Statistics deals with every aspect of data, including the planning of data collection in terms of the design of surveys and experiments.

## Data science

Again pulling from [Wikipedia](https://en.wikipedia.org/wiki/Data_science), "**[d]ata science** is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data,[1][2] and apply knowledge and actionable insights from data across a broad range of application domains. Data science is related to data mining, machine learning and big data. Wikipedia does warn: _not to be confused with information science_.

## Math and Statistics in the Wild
##### (aka entertainment for your next rainy Saturday)

- Hidden Figures
- Moneyball  
- 21
- Good Will Hunting
- Rounders

1. Hidden Figures
1. Good Will Hunting
1. Rounders
1. Moneyball  
1. 21
