← All parts of this equation

Equation 6 · Part 2 · A Practitioner's Map of Agent Evaluation Frameworks

≈

zα/2≈1.96z_{\alpha/2} \approx 1.96
≈

What this part means

Approximately equal to; the equality is not exact.

Its job in the formula

Approximately equal to; the equality is not exact.

The passage around this formula

gives a rough sense of how much noise sits under a given n , even granting the generous and almost certainly false assumption that every task in the set is an equally difficult coin flip. At the widest plausible spread, p^\hat p = 0.5 , a 95% interval ( zα/2z_{\alpha/2} ≈\approx 1.96 ) works out to roughly ±\pm 13.9 points on a fifty-task set — close to the size of tau-bench’s original airline domain or GAIA’s seventy-five-question Level 3 tier — versus roughly ±\pm 4.4 points on SWE-bench Verified’s five hundred tasks, or ±\pm 5.1 points on OSWorld’s 369. A three- or four-point difference between two systems on a fifty- or seventy-five-task slice is, on this generous accounting, close to noise; the…

Read this part in the article →

Learn the underlying idea

A variable is a named place for a value. Its letter is a local label: x can mean position in one formula and a data point in another.

Open the illustrated variables: a letter stands for a value guide →

Sources cited in the article section

These citations provide research context; check each source for the exact claim it supports.