A signed-deviation ledger cross-scan lists each state's difference from the mean, keeping the sign so above-mean and below-mean contributions can cancel in the first check. The arithmetic is exact only for the stated states, probabilities or counts, deviations, and rows in the ideal ensemble model. Real systems add preparation bias, finite samples, correlations, detector/counting calibration, thermalization limits, finite precision, and measurement uncertainty.

Variance starts with signed distances from the mean, not with a black-box square. Exact arithmetic here means exact results for the stated model inputs; measured inputs still carry uncertainty and significant-figure limits.

highlighted = computed this step

Deviation row 1

Value 0 minus mean 2 gives signed deviation -2.

x−μ=0−2=−2x-\mu=0\mathbin{-}2=-2
Signed deviation row 1The fixed fluctuation ledger supplies the mean and values.xwdsqterm01-2sq next220sq next412sq nextx=0, mean=2, deviation=-2

Deviation row 2

Value 2 minus mean 2 gives signed deviation 0.

x−μ=2−2=0x-\mu=2\mathbin{-}2=0
Signed deviation row 2The fixed fluctuation ledger supplies the mean and values.xwdsqterm01-2sq next220sq next412sq nextx=2, mean=2, deviation=0

Deviation row 3

Value 4 minus mean 2 gives signed deviation 2.

x−μ=4−2=2x-\mu=4\mathbin{-}2=2
Signed deviation row 3The fixed fluctuation ledger supplies the mean and values.xwdsqterm01-2sq next220sq next412sq nextx=4, mean=2, deviation=2

Signs disappear only after the squaring step

The three signed deviations are negative two, zero, and positive two. This page keeps the sign visible before variance squares it.

xμx−μ02−2220422\begin{array}{c|c|c}x&\mu&x-\mu\\0&2&-2\\2&2&0\\4&2&2\\\end{array}
Signed deviation cross-scanThe table shows all rows while the source ledger remains checked.xwdsqterm01-2sq next220sq next412sq nextdeviations are -2, 0, +2 before squaring