Mean
When to use: Near-symmetric numeric samples with few outliers.
When to avoid: Strong skew, heavy tails, or Tukey-flagged clumps that pull the average.
Assumptions: Treats every point equally; one extreme value moves it. Excel AVERAGE.
Depth for the pane’s DNA cards. Hypothesis tests are not in v1. Ranked summaries are “best supported among candidates on this sample.”
Excel conventions: STDEV.S, SKEW, KURT, PERCENTILE.INC (Hyndman type 7). Trim uses floor(n×0.1) each tail; skip if that is 0.
When to use: Near-symmetric numeric samples with few outliers.
When to avoid: Strong skew, heavy tails, or Tukey-flagged clumps that pull the average.
Assumptions: Treats every point equally; one extreme value moves it. Excel AVERAGE.
When to use: Mild skew or a few outliers when you still want an average-like center.
When to avoid: Very small n (cannot trim) or ordinal / categorical data.
Assumptions: Drops 10% of each tail, then averages the rest. Not Excel TRIMMEAN’s even-rounding discard.
When to use: Skewed samples, outliers, or ordinal scores.
When to avoid: Near-symmetric data where the mean is more efficient — still fine, just less usual.
Assumptions: The middle order statistic. Excel MEDIAN.
When to use: Binary 0/1 columns (pass/fail, yes/no).
When to avoid: Do not report this as a “typical value” for a continuous column.
When to use: Categorical labels or a few integer codes.
When to avoid: Continuous measurements (almost every value is unique).
When to use: With a mean on near-symmetric data.
When to avoid: As the only spread on skewed or outlier-heavy samples.
Excel STDEV.S (n−1), not STDEV.P.
When to use: With a median, or whenever tails should not dominate spread.
When to avoid: Very small n (quartiles are jumpy).
Q3 − Q1 with PERCENTILE.INC. Tukey fences use 1.5×IQR.
When to use: A robust companion to SD; check how much outliers inflate SD.
1.4826 × median absolute deviation, so it matches SD on a normal sample.