Walkthrough — from sample file to APA sentence
Walk one small survey all the way through. Download the file, upload it, test the difference between two groups, and read the APA-style sentence that comes back — six steps.
This sample is synthetic, made for the walkthrough — not real responses. A difference between the two groups was built in on purpose, so you know in advance what the result will say.
- 1
Download the sample
One CSV: 60 respondents, six columns (id, gender, age, department, satisfaction, score). It opens in Excel as-is.
- 2
Upload it to Core statistics
Core statistics runs Frequency, Descriptive, Crosstab, t-test, ANOVA, Correlation and Regression from one place. Upload the file you just downloaded. Once it is in, the data status appears in one line.
- 3
Choose what to look at
Ask whether score differs by gender. Pick gender as the group variable — t-test turns on. Check t-test in the Choose analyses checklist, and pick score in the Variables field. An analysis that cannot run with the variables you picked is switched off, with the reason in one line.
- 4
Run it
Press "Run all at once". A statistics engine does the computing — AI does not produce the numbers. The same data always gives the same result.
- 5
Read the result
Everything you ran lands on one results screen. In the t-test section, group means and standard deviations, t and degrees of freedom, the p-value and the effect size arrive in one table, together with whether equal variances held. Below is what this sample actually produced.
- 6
The same answer inside Claude
Ask the same question inside an AI conversation and the same engine runs and returns the same numbers. The guide shows how to connect it.
What this sample actually produced
These numbers are not written into the page. A test in this repository ran the sample through the engine and produced them.
| Group | N | Mean | SD |
|---|---|---|---|
| F | 30 | 4.11 | 0.657 |
| M | 30 | 3.39 | 0.713 |
- t
- 4.058
- df
- 58
- p
- < .001
- Cohen's d
- 1.048
Compared against SPSS on the same data: 3 of 3 items agree.
The sentence you can paste
Independent-samples t-tests compared score across levels of gender (N = 60). For score, F (M = 4.11, SD = 0.66) scored significantly higher than M (M = 3.39, SD = 0.71), Student's t(58) = 4.06, p < .001, d = 1.05, 95% CI [0.36, 1.07]. Levene's test indicated equal variances.
This is the engine’s own sentence — the page does not rewrite it.
Paste it into Claude
Paste this into Claude with Statory connected and ask for an independent-samples t-test of score by gender. The engine that answers is the one that produced the table above.
gender: F, M, F, M, F, M, F, M, F, M, F, M, F, M, F, M, F, M, F, M, F, M, F, M, F, M, F, M, F, M, F, M, F, M, F, M, F, M, F, M, F, M, F, M, F, M, F, M, F, M, F, M, F, M, F, M, F, M, F, M score: 4.12, 2.93, 1.91, 2.46, 4.90, 3.26, 4.67, 3.25, 4.45, 4.09, 4.17, 4.04, 3.93, 3.19, 3.09, 3.09, 4.12, 4.00, 4.09, 3.39, 4.25, 2.56, 4.11, 3.55, 4.79, 2.72, 3.95, 2.12, 4.26, 3.19, 3.38, 3.96, 4.97, 3.72, 4.72, 4.96, 2.87, 3.27, 4.12, 3.58, 3.64, 4.05, 4.56, 4.57, 5.00, 3.94, 3.98, 1.73, 3.62, 2.68, 4.29, 3.17, 4.04, 4.33, 4.54, 3.49, 4.29, 3.08, 4.42, 3.34