Three to 200 paired finite observations in matching order; average ranks are used for ties.
Spearmans Rank Calculator
Enter your values below to get the result first, then scroll for the full explanation and guidance.
Spearman rank correlation
Spearman rank correlation: 0.82078268 (5 paired observations)
Spearman's rho is the Pearson correlation of the average ranks, including tied observations.
Monotonic association
Spearman's rho is the Pearson correlation of the average ranks, including tied observations.
Result snapshot
A quick visual read of the values behind this result.
This calculator updates instantly as your values change, so you can compare outcomes without extra steps.
Recommended next checks
- →The paired lists must be in matching observation order.
Try different values to compare results.
Calculate Spearman's rank correlation for paired values, assigning average ranks to ties.
Spearman rank correlation
Spearman rank correlation: 0.82078268 (5 paired observations)
Spearman's rho is the Pearson correlation of the average ranks, including tied observations.
Monotonic association
Spearman's rho is the Pearson correlation of the average ranks, including tied observations.
Result snapshot
A quick visual read of the values behind this result.
This calculator updates instantly as your values change, so you can compare outcomes without extra steps.
Recommended next checks
- →The paired lists must be in matching observation order.
Try different values to compare results.
Table of Contents
Table of Contents
About Spearmans Rank Calculator
Spearmans Rank Calculator helps you work through the main numbers for this topic quickly with a simple input flow and an instant result.
Use the calculator result as a practical starting point, then review the explanation and assumptions on the page if you want more context.
Calculation method
Rank both datasets with average tied ranks, then calculate the Pearson correlation of those ranks.
Formula explained
Calculation flow
This calculator is structured for fast UK-focused estimates with clear inputs, repeatable logic, and instant results.
Formula
Input values -> calculation engine -> instant result
How the result is built
Example
Example verified by the calculator's statistical association reference cases.
Assumptions
- Three to 200 paired finite observations in matching order; average ranks are used for ties.
Source basis
- UK-focused calculator flow
- Structured input validation
- Instant result breakdowns
FAQ
Common questions
Trust and notes
Assumptions and important notes
This calculator is designed to give a fast estimate using the method shown on the page. Results are most useful when your inputs are accurate and the tool matches your situation.
Use the result as guidance rather than a final diagnosis or professional decision. If the result could affect health, legal, financial, or compliance decisions, verify it with a qualified source where appropriate.
- Three to 200 paired finite observations in matching order; average ranks are used for ties.
Method
UK calculator guidance
Last reviewed
April 17, 2026