Cohen’s d Calculator — Standardized Mean Difference — GetCalcMaster
Compute Cohen’s d (standardized mean difference) from two group means/SDs (with pooled SD). Includes interpretation tips and a worked example.
Cohen’s d expresses a mean difference in standard deviation units. It’s the go‑to effect size for comparing two groups on a continuous outcome.
What this calculator is
The Statistics Calculator is an interactive tool inside GetCalcMaster. It’s designed to help you explore scenarios, understand formulas, and document assumptions.
Key features
- Uses pooled SD for two independent groups
- Works with equal or unequal sample sizes
- Direction preserved (sign tells which group is larger)
- Pairs naturally with t-tests and confidence intervals
Formula
s_pooled = sqrt(((n1-1)s1^2 + (n2-1)s2^2) / (n1+n2-2))
d = (M1 - M2) / s_pooledQuick examples
Example: M1=10, s1=2, n1=30; M2=9, s2=2, n2=30 → s_pooled=2, d=(10−9)/2=0.5.If M2 > M1, d is negative (same magnitude, opposite direction).
Verification tips
- If s1=s2 and n1=n2, then s_pooled=s1 and d simplifies to (M1−M2)/s1.
- d is unitless; changing measurement units shouldn’t change d.
Common mistakes
- Using the wrong SD (e.g., SD of one group only) when pooled SD is intended.
- Confusing Cohen’s d with the raw mean difference (units vs SD units).
- Interpreting sign as “good/bad” without defining direction.
How to use it (quick steps)
- Collect M1, s1, n1 for group 1 and M2, s2, n2 for group 2.
- Compute the pooled SD (s_pooled).
- Compute d = (M1 − M2) / s_pooled.
- Interpret |d| in context and report direction separately if helpful.
Related tools and guides
Featured guides
Deep, human-written guides focused on accuracy, verification, and reproducible workflows.
FAQ
Is this calculator official?
Do you store my inputs on the server?
Tip: For reproducible work, save your inputs and reasoning in Notebook.