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'The numbers have no way of speaking for themselves. We speak for them. We imbue them with meaning'
'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:
Instruction on statistical concepts to apply to your datasets.
Step-by-step guides to software like Jamovi, and Orange which we find user-friendly for basic data analysis, and instructions on preparing data using Excel. You'll also find exercises to test your understanding.
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:
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.
Useful Dataset
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"
UK Data Service (2022) "British Social Attitudes Survey, 2017, Environment and Politics: Open Access Teaching Dataset"
Suggested Readings
Suggested Readings
Easy: Rowntree, Derek (2018) Statistic without Tears. Penguin Books: London
Easy: Davis, Cole (2019) Statistical Testing with Jamovi and JASP Open Source Software. Vor Press Norwich.
Moderate: Frost, Jim (2019) Hypothesis testing: An intuitive guide for making data-driven decisions. StatsbyJim
Moderate: Frost, Jim (2019) Regression Analysis: An intuitive guide for using and interpreting Linear Models. StatsbyJim
Moderate: Navarro, D & Foxcroft, D (2019) Learning Statistics with Jamovi: A tutorial for psychology students and other beginners. Online: Version 0.7
Questions?
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.
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