Statistics are always uncertain. The challenge is to communicate this in a way that provides assurance and supports understanding. This guidance provides advice on how to do that and includes examples from across the GSS which you can draw inspiration from.
The guidance will evolve as we learn more about what works best in communicating uncertainty and change. There are already new areas that we want to address in future versions, including
- Providing a set of standard definitions for common terms, such as statistical significance
- Communicating uncertainty in rankings and league tables
- Communicating uncertainty using methods like confidence intervals and coefficients of variation.