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Probability: Event Complement Interval Bounds Tool

Transform a closed probability-uncertainty interval through the decreasing complement map, reversing endpoints.

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Description

Transform a closed probability-uncertainty interval through the decreasing complement map, reversing endpoints.

Event probabilities and probability masses lie between zero and one. Marginals, intersections, conditioning events, and endpoint atoms describe different quantities. A probability bound or local consistency check can constrain a model without specifying its complete distribution or dependence structure.

Transform a closed probability-uncertainty interval through the decreasing complement map, reversing endpoints.

When to use this tool

Use Probability: Event Complement Interval Bounds when you need the stated event identity, boundary policy, distribution component, or local feasibility check.

How to use the tool and how it works

  1. Enter lowerProbability, upperProbability. Use the units and conventions below.
  2. Run the tool. Correct any format, range, or cross-field input error before interpreting the output.
  3. Read result. Expand result to inspect the returned fields.

For ordered lowerProbability and upperProbability within zero through one return complementLower=1-upperProbability and complementUpper=1-lowerProbability inside result.1

Input fieldMeaning and unitsAccepted input
lowerProbabilityLower ProbabilityRequired. Finite number.
upperProbabilityUpper ProbabilityRequired. Finite number.
Output fieldInterpretationReturned shape
resultObject containing the calculated result members described below.Required. Object.
result.complementLowerComplement LowerCalculated result member: number.
result.complementUpperComplement UpperCalculated result member: number.
json
{
  "input": {
    "lowerProbability": 0.2,
    "upperProbability": 0.7
  },
  "output": {
    "result": {
      "complementLower": 0.3,
      "complementUpper": 0.8
    }
  }
}

Limitations and assumptions

  • Only numeric probability bounds are transformed. Endpoint openness and dependence between other constraints are not represented.
  • Outputs are nested inside result. Inputs must satisfy both the field types and the cross-field conditions above. Invalid input causes an error; a successful false flag or documented placeholder is a different result.
  • Numeric calculations use binary floating point unless exact decimal-integer arithmetic is explicitly stated. No hidden measurement tolerance or decimal rounding is added; nonfinite or out-of-contract results are rejected. Signed zero is exported as zero.

Alternative or Complementary methods

Use a full probability table or distribution when a local mass, bound, or identity is insufficient. Specify dependence, conditioning, support order, and endpoint policy before combining terms.

References

  1. Calculation and input contract: probability/event-complement-interval-bounds — tool.io

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