SUGGESTIONS FOR PRESENTING RESULTS VISUALLY FOR INTRODUCTORY STATISTICS TOPICS

There are many suggested ways for presenting statistical results, but a visual presentation can often help to guide the reader in focusing in on the most important parts of the results, rather than a paragraph description or a... [ view full abstract ]

There are many suggested ways for presenting statistical results, but a visual presentation can often help to guide the reader in focusing in on the most important parts of the results, rather than a paragraph description or a lengthy table. In this paper, I will explore suggestions for presenting the results of some basic statistical analysis typically covered in an introductory statistics course. The focus will be on presenting the results with a visualization. The designs will focus on three parts. First, a graphical representation of the
data. Second, a graphical representation of the test (if needed). And third, the important statistical measures of the test (such as the mean, p-value, or t statistic). The analyses covered will be Descriptive Statistics, Two-Sample t Tests, ANOVA, and Regression. The results will be presented with instructions for using Excel and R as tools for creating the visualizations.