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PERMUT in WPS Spreadsheet: Count Ordered Selections Without Repetition

Statistical Intermediate WPS Spreadsheet

Count ordered WPS selections, enumerate a small fixture, compare combinations and repeated choices, and apply the dated truncation and argument rules.

Verification status: See the evidence and test scope described in this guide. How formula examples are checked

Quick answer: PERMUT counts ordered selections from distinct objects without choosing the same object twice in a selection. Choosing two ordered positions from four objects gives 12, because AB and BA are different outcomes.

Availability and version history

  • Introduced: documented by 2019-06-17 in the official WPS lesson; the first release is not established.
  • Availability: the current dedicated Windows introduction documents WPS on Windows. The historical lesson’s edition field is blank.
  • Scope: exact current supported builds and other WPS clients remain unverified. Historical naming does not establish retirement.
  • Checked: October 14, 2026. Documentation and independent calculations; no native WPS test was performed.

Syntax and source boundaries

=PERMUT(number, number_chosen)

Both arguments are required. The historical lesson describes truncating noninteger arguments, #VALUE! for nonnumeric arguments, and #NUM! when number is at most zero, number_chosen is negative, or the selected count exceeds the available count.

The formal description calls both counts positive while its error condition permits a zero selected count. The exact native zero-selection result and the order of truncation versus boundary checking remain unverified here. Worked selections use positive counts within range.

The 2019 lesson’s edition field is blank. A separately retrieved current WPS Windows introduction identifies PERMUT as a built-in Windows spreadsheet function, without a numeric minimum build. No Windows edition is retroactively assigned to the historical metadata.

Example 1: enumerate all ordered pairs

For objects A, B, C and D:

=PERMUT(4,2)

Expected result: 12. The complete outcome list is:

First object Possible second object Ordered pairs
A B, C, D AB, AC, AD
B A, C, D BA, BC, BD
C A, B, D CA, CB, CD
D A, B, C DA, DB, DC

There are four choices for the first position and three remaining choices for the second: 4*3 = 12. AA is absent because repetition is not part of this selection model.

This reproduces the historical lesson’s four-person, two-position example with a complete explicit enumeration.

Example 2: assign three distinct roles

Suppose six distinct people can fill three different roles, with one person per role and nobody filling two roles:

=PERMUT(6,3)

Expected result: 654 = 120. The first role has six candidates, the second five remaining candidates, and the third four.

The role labels make order meaningful. Selecting an unordered three-person team answers a different question: COMBIN(6,3) has expected result 20. Each team can fill the three distinct roles in 321 = 6 orders, and 20*6 = 120.

Advanced example: do not confuse no-repetition and repetition models

If the same six symbols may be reused independently in each of three positions, the independent count is 6^3 = 216. That is not the PERMUT(6,3) model, which gives 120.

For a two-position example with four symbols, repetition permits 4^2 = 16 outcomes. The additional outcomes are AA, BB, CC and DD, beyond the twelve distinct-object pairs.

Clarify the policy before choosing a formula. “Three positions” alone does not tell the function whether reuse is allowed; PERMUT’s documented selection meaning supplies the no-repetition model.

Advanced check: truncation changes the effective counts

Under the historical source’s explicit truncation rule:

=PERMUT(5.9,2.8)

The effective positive counts are 5 and 2, giving expected result 20. The function does not interpolate between neighboring integer counts or treat 0.9 of a person as another possible object.

Use explicit integers in normal work so truncation does not hide a damaged input. For nonnegative count inputs, a separate validation step should decide whether decimals are acceptable rather than silently relying on conversion.

Boundary and interpretation checks

=PERMUT(3,4) is covered by the documented selected-count-too-large #NUM! condition. =PERMUT(0,1) is covered by the nonpositive-total condition. These are documented error expectations, not native test captures.

When every available object is selected, the independent positive-integer model gives PERMUT(4,4) = 432*1 = 24. When one object is selected from four, it gives 4. These controls show how the position count changes the result.

PERMUT counts outcomes; it does not assign their probabilities. Equal probability for all arrangements is an additional modeling assumption. FACT can help inspect the factorial relationship, but large-count overflow and current native precision limits remain unverified.

References and verification

Worked outputs are independently calculated expectations, not captured native results. Function-specific source gaps and product/client boundaries remain explicitly scoped.