This descriptive-statistics sandbox was generated by Claude (Anthropic) for the STAT 101 course materials. Every number on it is computed in your browser and recomputed on every edit: the mean, the median, the mode, the sample variance with the n − 1 divisor, the standard deviation, the min, max and range, the five-number summary, the interquartile range, and the 1.5×IQR outlier fences. The histogram is a real count of the points into bins, and the box plot's whiskers, box edges and outlier dots are placed from those computed values. Nothing on this page is sketched.
Quartiles use linear interpolation of the order statistics — the method R calls
type 7 and NumPy calls "linear" (its default): for a probability p the
position on the sorted data is (n − 1)×p, zero-indexed, interpolated
between neighbours. “The first quartile” with no stated rule is ambiguous —
texts differ, and a different rule moves Q1, Q3 and the fences — so the page states its
rule beside the summary rather than hiding it.
Sample variance uses the n − 1 (Bessel) divisor, the unbiased estimator; the n divisor is the maximum-likelihood estimator and is named as such in the equation notes. Seeded presets: mulberry32 (public domain). No number on this page came from a real dataset — the presets are simulations whose shape is chosen and whose draws are reproducible from the seed.
Course demo — reached from the Labs & Demos hub; the page itself is English‑only for now. Built for STAT-101 Module 1. Edit the numbers, or load a preset, and watch the mean, median, mode, standard deviation and the five-number summary recompute, with a histogram and a box plot drawn from them. The one thing to take away: the mean chases the tail and an outlier drags it, while the median resists — push a point out to the extreme and watch the two separate.