When presenting statistical evidence, any original work answers a question about what was found during the effort. This process creates an outlined paper where all of the processes and procedures used to develop the facts get described for the reader. It is a method that enables peer review because it publishes the steps needed to duplicate the effort.
The results section of original research also requires the author to choose what is worth presenting. Once that decision gets reached, the information must get conveyed using a combination of graphics, tables, and text. Since the level of detail is based on the target audience and the publication standards of the journal used, the final method of presentation is highly individualized.
Rules for Presenting Statistical Evidence
1. Keep the information as simple as possible. Authors who immerse themselves in statistical evidence sometimes forget that readers may not understand their presentation. When too much data is part of the process, then the data can get somewhat clouded.
2. The statistical evidence should answer the research questions asked by the research.
3. Once you start with the general information, it is suitable to get more specific as you delve into more of the details of your finding. The statistical evidence should follow after the response rate, description of the participants, and the key findings.
4. Do not include information about the processes of data collection in the introduction. It should stay in the methods section because the statistical evidence is proof of discovery. Having the info in other places can distract people from the findings you want to present,
5. Use the past tense when describing the results as determined by the statistical evidence. If you use the present or future tense when talking about the work performed, then it can discredit the work because it feels more like an opinion than a fact to the reader.
6. Avoid redundant information whenever possible. Don’t repeat results within multiple figures, tables, and text. Any graphics used with the statistical evidence should be self-explanatory for the average person. Your title, columns, rows, and footnotes can fill in whatever missing pieces you have.
Statistical evidence can be a powerful way to provide proof-of-concept information. Following these general rules can get your presentation off to a strong start. Then make sure the data you share can get peer-reviewed so that your findings have validity.