For a one-sample or paired t-test, df = N – 1. For an independent samples t-test, df = (N₁ – 1) + (N₂ – 1), where N is the sample size.
T test calculatorT-score:Degrees of Freedom:Significance Level:0.010.050.10Test Type:One-tailedTwo-tailedCompute PP-value:Conclusion:Significance:APA Results GeneratorIV Level 1:Mean:SD:IV Level 2:Mean:SD:Dependent Variable:Generate APA Results
T test calculator
T-score:
Degrees of Freedom:
Significance Level:0.010.050.10
Test Type:One-tailedTwo-tailed
One-tailedTwo-tailed
One-tailed
Two-tailed
P-value:Conclusion:Significance:
APA Results GeneratorIV Level 1:Mean:SD:IV Level 2:Mean:SD:Dependent Variable:Generate APA Results
APA Results Generator
IV Level 1:
Mean:
SD:
IV Level 2:
Dependent Variable:
Further Information
What does the t-test tell you?
When to use t-test vs anova?
What is the difference between a t-test and a z-test?
When to use t-test vs chi-square?
Olivia Guy-Evans, MSc
BSc (Hons) Psychology, MSc Psychology of Education
Olivia Guy-Evans is a writer and associate editor for Simply Psychology. She has previously worked in healthcare and educational sectors.
Saul McLeod, PhD
BSc (Hons) Psychology, MRes, PhD, University of Manchester
Saul McLeod, PhD., is a qualified psychology teacher with over 18 years of experience in further and higher education. He has been published in peer-reviewed journals, including the Journal of Clinical Psychology.
