Descriptive statistics, histogram, and t-tests (one-sample and Welch two-sample) from pasted data
| Statistic | Sample A |
|---|---|
| n | 12 |
| Mean | 12.5667 |
| Std dev (sample) | 0.501513 |
| Std error | 0.144774 |
| Median | 12.6 |
| Q1 / Q3 | 12.175 / 12.925 |
| Min / Max | 11.8 / 13.4 |
| 95% CI (mean) | 12.2829 – 12.8504 |
Paste measurements straight from a lab notebook or spreadsheet and get descriptive statistics, a histogram, and hypothesis tests. The two-sample comparison uses Welch's t-test (no equal-variance assumption) with Welch–Satterthwaite degrees of freedom; p-values come from an exact Student-t CDF computed in your browser. Remember: statistical significance is not the same as practical importance — always look at the effect size.
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