# Welcome to Stats Made Easy

## 'The numbers have no way of speaking for themselves. We speak for them. We imbue them with meaning'

Nate Silver, The Signal and the Noise

We understand that learning Statistics can be overwhelming. That's why we've simplified the material to make it as accessible as possible. On this site, we'll teach you statistical concepts without the need for complex mathematics – no daunting equations, as the computer will handle the calculations for you.

However, for those serious about data analysis, we recommend learning some underlying mathematics, such as algebra, calculus, and probability, to advance beyond basic data analysis.

This site offers two resources:

In the future, we aim to include materials for Orange, Python, and R. The website provides learning materials and guides, supplementing with links to other open resources as needed.

### Let's Get Started:

Gain an understanding of key statistical concepts through our video tutorials and step-by-step guides, with no maths required. Once you're familiar with the concepts, use our software-specific guides to apply what you've learned. Start with the statistical concepts tutorials, then proceed to the guides for practical application.

## Statistical Concepts

Take the time to learn the underlying statistical concepts. No Math is required

## Step-by-Step Guides: Jamovi

Learn how to run data analysis using Jamovi

## Step-by-Step Guide: Excel

Learn how to prepare your data in Excel

## Useful Dataset

Skoczylis, Joshua (2021) "Extremism, Life Experiences and the Internet", Harvard Dataverse, Version 3.

UK Data Service(2022) "Crime Survey of England and Wales 2013-14: Teaching Dataset"

## Questions?

If you have any questions about the materials please email Joshua Skoczylis and we will add additional information either to the material or add a blog post on the topic.

The above are not sponsors of this site. The creators of this site, have added links here as these are deemed excellent platforms and learning and analysis tools for analysing and making sense of your data.

Provider of Content: