“ShinyStats” is a series of web-based interactive applications (Apps) created using the R statistical programming language and an extension called Shiny. Students are given already visualised sample data to interact with; for example, they can manipulate the number of observations. Each time an observation is altered, the application displays the p-value (an indicator of statistical significance). This level of experimentation gives the students a more thorough understanding of statistical concepts, benefitting not only their own research and analysis but also the ability to understand the results quoted in published medical literature.
This accessibility statement applies to shinystats.org.
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The Equality and Human Rights Commission (EHRC) is responsible for enforcing the Public Sector Bodies (Websites and Mobile Applications) (No. 2) Accessibility Regulations 2018 (the ‘accessibility regulations’). If you’re not happy with how we respond to your complaint, contact the Equality Advisory and Support Service (EASS).
The University of Edinburgh is committed to making its website accessible, in accordance with the Public Sector Bodies (Websites and Mobile Applications) (No. 2) Accessibility Regulations 2018.
This website is partially compliant with the Web Content Accessibility Guidelines version 2.1 AA standard, due to the non-compliances listed below.
The content listed below is non-accessible for the following reasons.
None.
Some images do not have a text alternative, so people using a screen reader cannot access the information. This fails WCAG 2.1 success criterion 1.1.1 (non-text content). Due to the nature of these pedagocial applications - teaching statistics via visualisations, it is not possible completely replace the information given by these images with text in this application. More traditional - text and equation based - statistics books should be used instead.
None.
This statement was prepared on 22-09-2020. It was last reviewed on 22-09-2020.
This website was last tested on 22-09-2020. The test was carried out by the creator of the website.
We used this approach to deciding on a sample of pages to test: all pages.