ETC5523: Communicating with Data
Workshop 5: Turning statistical output into prose
🎯 Objectives
By the end of this workshop, you will be able to:
- select results that matter for a stated purpose;
- translate statistical output into accurate prose; and
- distinguish estimates, uncertainty, association and causation.
A company examined whether completion of an optional training program was associated with analysts’ scores on an internal data-communication task. Scores range from 0 to 100. The model adjusts for each analyst’s years of experience. These data were created for this exercise.
| Term | Estimate | 95% confidence interval | p-value |
|---|---|---|---|
| Training completed (yes vs no) | 4.8 | 2.1 to 7.5 | <0.001 |
| Years of experience | 0.6 | 0.2 to 1.0 | 0.004 |
Additional information: 240 analysts were included; 96 completed the training. Participation was optional rather than randomly assigned.
1. Quickwrite: what deserves a sentence? (5 minutes)
Imagine you have space for only one sentence about a statistical analysis. Write what you would need to know before deciding which number deserves that sentence.
2. Read for meaning (5 minutes)
Without drafting report prose yet, annotate the output:
- What does 4.8 compare?
- What is the unit of the outcome?
- What does the confidence interval add?
- What can the analysis not establish?
3. Write the takeaway (7 minutes)
Write one sentence for a technically competent, time-poor manager. Include the comparison and its practical size. Do not begin with the p-value.
4. Build a results paragraph (10 minutes)
Expand the takeaway into a paragraph of 80–120 words. Use this sequence if helpful:
- main result;
- numerical evidence and uncertainty;
- relevant adjustment or context; and
- limitation on interpretation.
Do not describe every table cell. Do not claim that training caused the difference.
5. Write a self-contained caption (7 minutes)
Write a caption for the table. It should help a reader understand the table without searching the surrounding prose. Include:
- the takeaway;
- what the estimates represent;
- the sample size; and
- any abbreviation or essential model detail.
6. Evidence check (8 minutes)
Exchange the paragraph and caption with a partner. For every factual claim, the reader marks:
- S – supported directly by the supplied information;
- I – a reasonable interpretation, but not directly observed; or
- U – unsupported or too strong.
Discuss disagreements, then revise the strongest unsupported claim.
7. Writer’s note (3 minutes)
Complete: “The difference between reporting a number and communicating a result is…”