Description
Compute the mean of explicit paired finite ratios, rejecting any zero denominator rather than silently omitting undefined pairs; no ratio-of-sums substitution.
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.
Compute the mean of explicit paired finite ratios, rejecting any zero denominator rather than silently omitting undefined pairs; no ratio-of-sums substitution.
When to use this tool
Use this tool to compute the mean of explicit paired finite ratios, rejecting any zero denominator rather than silently omitting undefined pairs; no ratio-of-sums substitution.
How to use the tool and how it works
- Enter numerators, denominators using the field definitions below.
- Run the operation. Correct input errors before interpreting an output.
- Read result.ratios, result.mean. Use the ordering, boundary rules and absence conditions described below.
Require aligned lists and nonzero individual denominators. Return each numerator/denominator ratio and their unweighted arithmetic mean.1
| Input field | Meaning and units | Accepted input |
|---|---|---|
| numerators | Finite numerator observations aligned with denominators. | Dense list of at most 128 finite numbers; integer/shape constraints above also apply. |
| denominators | Finite denominator observations aligned with numerators. | Dense list of at most 128 finite numbers; integer/shape constraints above also apply. |
| Output field | Interpretation |
|---|---|
| result | Object containing the named fields below. |
| result.ratios | Input-order numerator/denominator ratios. |
| result.mean | Unweighted arithmetic mean of the paired ratios. |
{
"input": {
"numerators": [
2,
4
],
"denominators": [
1,
4
]
},
"output": {
"result": {
"ratios": [
2,
1
],
"mean": 1.5
}
}
}Limitations and assumptions
- The lists must be nonempty for a mean; this is not a ratio of totals.
- 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
Similar or alternative tools
- Group Mean Centered Values
Center each observation by its explicit group’s sample mean, retaining group-center evidence and original order; no between-group inference.
- Mean Absolute Deviation from Reference
Compute mean absolute deviation about a caller-supplied reference; existing mean-absolute-deviation centers on the sample mean instead.