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Rank Tie Cubic Sum

Sum t^3-t over exact numeric rank tie blocks for finite observations; no rank-test p-value or independence inference.

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Description

Sum t^3-t over exact numeric rank tie blocks for finite observations; no rank-test p-value or independence inference.

A descriptive statistic depends on what is counted, how observations are weighted, and which reference or denominator is used. Removing observations differs from replacing them at cutoffs, and a ratio of totals differs from a mean of individual ratios. Keep those conventions and measurement units explicit when comparing results.

Sum t^3-t over exact numeric rank tie blocks for finite observations; no rank-test p-value or independence inference.

When to use this tool

Use this tool to sum t^3-t over exact numeric rank tie blocks for finite observations; no rank-test p-value or independence inference.

How to use the tool and how it works

  1. Enter values using the field definitions below.
  2. Run the operation. Correct input errors before interpreting an output.
  3. Read result.sum. Use the ordering, boundary rules and absence conditions described below.

Group exactly equal values into tie blocks and sum t³ − t for their sizes t.1

Input fieldMeaning and unitsAccepted input
valuesFinite observations in the measurement units used by reference or cutoffs.Dense list of at most 128 finite numbers; integer/shape constraints above also apply.
Output fieldInterpretation
resultObject containing the named fields below.
result.sumThe explicitly defined pairwise-difference or tie-block sum, without extra normalization.
json
{
  "input": {
    "values": [
      1,
      1,
      2,
      2,
      2
    ]
  },
  "output": {
    "result": {
      "sum": 30
    }
  }
}

Limitations and assumptions

  • No rank test or significance calculation is performed; near-equal floating-point values are not automatically tied.
  • Use consistent units within each measured list and its reference/cutoffs. Ratios carry numerator units divided by denominator units unless those units cancel. Ordinary floating-point arithmetic is used; input validation does not establish statistical suitability.
  • Every declared top-level input field is required and unexpected fields are rejected. Ordinary strings are limited to 8,192 UTF-16 code units and lists to 128 entries, with tighter operation-specific bounds where stated. JSON text has bounded nesting and node counts.
  • Numeric outputs must be finite and no larger in absolute magnitude than the safe-integer limit; operations returning exact large integers use decimal text. Positions are zero-based and spans end exclusively unless the operation explicitly states a different convention.

Alternative or Complementary methods

Check the descriptive convention and denominator before comparing results. Use a separate inferential model when you need uncertainty, significance, causal interpretation or population estimates.

References

  1. Tool behavior and example: Rank Tie Cubic Sum — tool.io

Similar or alternative tools

  • Rank Tie Correction Factor

    Compute the exact-tie cubic correction factor 1-sum(t^3-t)/(n^3-n) for n>=2; does not itself correct a named test statistic.

  • Pairwise Absolute Difference Sum

    Sum absolute differences over every unordered observation pair exactly once; no normalization into Gini or dispersion estimators.