als-statistics
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Modular JS statistics toolkit for Node.js and the browser: descriptive stats, correlations (Pearson/Spearman/Kendall), t-tests & ANOVA (Student/Welch), reliability (Cronbach’s alpha), regression (linear/logistic), clustering (DBSCAN/HDBSCAN), and table/co
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Markdown
<title>One-Sample T‑Test</title>
<description>## Class: `OneSampleTTest` (returned by `CompareMeans.oneSample`)</description>
<keywords>one-sample, t, test, class, onesamplettest, returned, comparemeans.onesample, public, fields, js, new, x</keywords>
# One-Sample T‑Test
## Class: `OneSampleTTest` (returned by `CompareMeans.oneSample`)
**Constructor**
```js
new OneSampleTTest({ X: number[] }, mu0=0)
```
- Requires **n ≥ 2**.
### Public fields
- `t: number` – t statistic.
- `df: number` – `n - 1`.
- `p: number` – two‑sided p‑value.
- `sd: number` – sample standard deviation.
- `se: number` – standard error `sd / sqrt(n)`.
- `mu0: number` – hypothesized mean.