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Sampling Error Difference Calculator — result sheet
Calculate the signed sampling error between a sample proportion and a supplied population proportion.
Inputs used
Results
Visual chart
Breakdown
Calculation steps
Returned data table
Formula and methodology
Formula: Sampling error=sample proportion−reference population proportion; absolute error is its magnitude.
The calculation preserves direction so a sample estimate below or above the supplied reference is visible.
This result follows the calculator's declared inputs, precision, validation boundaries, and model limits.
Input contract
- Sample proportion — minimum 0; maximum 1
- Reference population proportion — minimum 0; maximum 1
Worked example
| Input | Value |
|---|---|
| Sample proportion | 0.46 |
| Reference population proportion | 0.5 |
Signed sampling error =−0.04; absolute error =0.04.
Assumptions and limits
- Both proportions are on the same binary-outcome definition and lie in [0,1].
- The reference proportion is treated as supplied truth for this arithmetic comparison.
- Sampling design, confidence intervals, bias, and unknown population values are not modeled.
Calculator note
Source and methodology
Use the official WorldCalculate methodology policy for the source, formula, precision, and boundary standards behind this calculator.
Planning estimate, not financial, medical, legal, or professional advice. © WorldCalculate — reuse with attribution. Built and curated by Hassan ALRowaie.
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