VAR.P in ONLYOFFICE: Population Variance and Squared Units

Use VAR.P in ONLYOFFICE to calculate the variance of a complete population, dividing the sum of squared deviations by n. The working example below describes delivery lead times; its result is measured in squared hours. The official reference supports the function’s identity and purpose.

This guide separates documentation review from application testing. The expected numbers are independently calculated, not screenshots or results captured from ONLYOFFICE.

VAR.P(number1, [number2], ...)

Numeric inputs: individual numbers or cell ranges holding the observations. One range can contain many observations; a header is not a measurement.

Additional inputs: optional extra numeric values or ranges. Omit the square brackets shown in the syntax notation when entering a formula. The numeric-only examples avoid relying on text or logical-value conversion.

Use population variance to describe the spread of every observation in a specifically defined population. It gives equal weight to each included numeric observation. A row containing a subtotal is not interchangeable with a row containing an individual observation; mixing those two levels changes the question.

Variance is in squared units. It becomes one hundred times larger when every observation is multiplied by ten, even though the underlying pattern is unchanged. This makes it useful in calculations but easy to mislabel in a dashboard. Use a matching standard deviation measure when readers need a spread expressed in the original units.

A team delivery register with one row per completed shipment provides the scenario. Enter the following numeric observations into A2:A9, one per row, with a header in A1. Use a spare result cell outside the input range.

Download the ONLYOFFICE VAR.P practice data (CSV). Import it into a new, blank sheet starting at A1, with a comma as the file delimiter and the header row retained. The CSV contains input values only, not formulas or native test results. Blank spacer columns place the requested position in D2 and any additional test data in column F. Keep observations numeric rather than importing them as text.

Example 1: Measure spread in the working register

=VAR.P(A2:A9)

Expected result: 36.

The numeric count is 8, the mean is 20, and the sum of squared deviations is 288. Divide by 8 (n); the result is a variance in squared measurement units.

Example 2: Check the denominator with three known numbers

=VAR.P(2,4,6)

Expected result: 2.666667 (displayed to six decimal places).

The mean is 4 and the squared deviations are 4, 0 and 4, for a total of 8. The population denominator is 3. Keep the fractional result during later calculations rather than rounding the input values.

Example 3: Check squared units when values are rescaled

For this check, use F2:F5 containing 0, 0, 80, 80, in that order. These values are included in the practice file.

=VAR.P(F2:F5)

Expected result: 1600.

These four observations have mean 40 and squared deviations totalling 6400. They are ten times the numbers 0, 0, 8, 8, so their variance is one hundred times as large. Both zeros still count as observations.

Subtract the mean from each observation and square each difference. Add the squared differences and divide by n. Do not take a square root when reporting variance; its units remain squared. This mathematical definition is used to check the numbers in the examples, independently of the spreadsheet software. Keep stored results at full available precision and round only the final presentation when a report requires it. The displayed expectations above are rounded where necessary; a different number of displayed decimal places is not by itself a calculation error.

The output is labelled with ordinary units. A variance of 16 from data in minutes is 16 minutes squared. Its square root, 4, is the population standard deviation in minutes.

The result changes after rescaling the data. That is expected: multiplying each input by a factor multiplies variance by the square of that factor. Merely changing display formatting, without changing stored values, is a different operation.

The range includes summary rows or missing-value replacements. A subtotal introduces an extra observation, and replacing an unknown value with zero invents a measurement. Define the inclusion rule and inspect the data before relying on the resulting variance.

The ONLYOFFICE function page supplies the software-specific reference. Its remarks describe how different input types are handled, but this tutorial deliberately uses only finite numeric observations. Treat error values and text-coded numbers as separate cleanup questions instead of assuming that another program will handle them the same way.

In the delivery-register example, decide whether the measurement includes weekends, transit time only or the complete time from order to delivery. These are different variables even when their cells are all formatted as hours. Do not mix them in a single range and expect a dispersion or ranking formula to reconcile the definitions.

When reviewing a shared document, keep measurement cells apart from commentary and summary rows. A plain numeric range makes it easier for another editor to audit which shipments are included. The example data is deliberately small enough to check without relying on a chart.

English formulas here use commas between arguments. Follow the separator shown by your configured editor. The current help reference does not prove first-version availability or identical behaviour across every ONLYOFFICE desktop, browser and mobile build.

For the same statistical question in other programs, see VAR.P in Microsoft Excel, VAR.P in Google Sheets, VAR.P in SoftMaker PlanMaker. These links identify corresponding measures, not a guarantee that names, mixed-data rules, error codes or file conversions are identical.

MEDIAN, LARGE, SMALL, RANK.EQ, STDEV.S, STDEV.P, VAR.S. Browse the ONLYOFFICE function library for the other published guides.

Editorial verification: The vendor documentation was reviewed on 2026-10-12. Scope: The ONLYOFFICE spreadsheet function reference. The reviewed help does not establish the first supported version or identical desktop, browser and mobile behaviour. Three numeric examples were checked with an independent arithmetic model. No native application run was performed. Single-value population edge cases, mixed-data coercion, exact error-code parity and round-trip workbook compatibility remain untested; they are not labelled application-verified.