Cohen's D Effect Size Calculator for Z-Test
For the single sample Z-test, Cohen's d is calculated by subtracting the population
mean (before treatment) from the sample mean (after treatment), and then dividing
the result by the population's standard deviation.
Cohen's d = (Msample - µpopulation)
⁄ σ
Interpreting Cohen's d
|
d = 0.2
|
Small effect - mean difference is 0.2 standard deviation
|
|
d = 0.5
|
Medium effect - mean difference is 0.5 standard deviation
|
|
d = 0.8
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Large effect - mean difference is 0.8 standard deviation
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Enter Your Values
Please enter your population mean (µ), sample mean (M) and population standard
deviation (σ), and when you're ready,
press the "Calculate" button.
Please enter your values in the boxes above, and press the "Calculate" button.