What Is T Critical Value Two-Tailed?
A two-tailed t critical value is the point that leaves half of alpha in each tail of the t distribution. If your t statistic is further from zero than this value, the result is significant at level alpha.
Enter alpha, or switch to a confidence level, and the degrees of freedom. For a one-sample test the degrees of freedom are n − 1. The calculator also shows the matching z value so you can see how much wider the t cut-off is.
The same number is the multiplier used for a confidence interval for a mean.
How to Use the T Critical Value Two-Tailed Calculator
- Enter α, or switch to a confidence level.
- Enter the degrees of freedom, n − 1 for a one-sample test.
- Use the ± value as your cut-off.
T Critical Value Two-Tailed Formula
Critical value
Degrees of freedom (one sample)
T Critical Value Two-Tailed Variables Explained
| Symbol | Meaning | Notes |
|---|---|---|
| α | Significance level, split across both tails | |
| df | Degrees of freedom | n − 1 for one sample |
| t* | Critical value | Reject H₀ if |t| > t* |
| α/2 | Area in each tail |
T Critical Value Two-Tailed Worked Example
With the example values loaded in the calculator above, the steps are:
- Two-tailed: split α = 0.05 equally, so each tail holds 0.025.
- The critical value is the t score with 0.975 of the area to its left, using 14 degrees of freedom: t* = 2.1448.
- By symmetry the other critical value is −2.1448. Reject H₀ if |t| > 2.1448.
Result: Two-tailed t critical value (±) = ± 2.1448.
Worked example: α = 0.05, df = 14
Each tail holds 0.025. The t value with 0.975 of the area to its left and 14 degrees of freedom is 2.1448.
So the critical values are ±2.1448. A sample with t = 2.5 is beyond this limit and is significant at the 5 percent level.
Compared with z
For small samples the t critical value is larger than the matching z value, 1.96 at 95 percent, because the t distribution has heavier tails. As df grows, t gets closer to z.
Where T Critical Value Two-Tailed Is Used
Hypothesis tests
Get the cut-off for a two-tailed t test.
Confidence intervals
Find the t multiplier for a mean.
Replacing a t table
Get exact values for any degrees of freedom, not just table rows.
Common T Critical Value Two-Tailed Mistakes to Avoid
- Use the right df for your test.
- For a one-tailed test the critical value uses the full α in one tail.
T Critical Value Two-Tailed Terms and Definitions
- Critical value
- The cut-off that separates the rejection region from the rest.
- Degrees of freedom
- The number of independent pieces of information used to estimate the spread.
T Critical Value Two-Tailed FAQs
What is the t critical value for a two-tailed test at 0.05?
It depends on the degrees of freedom. With 14 degrees of freedom it is 2.1448, and it falls toward 1.96 as df grows.
How do I use it?
If the absolute value of your t statistic is larger than the critical value, reject the null hypothesis.
How is it different from one-tailed?
A two-tailed test splits α between both tails, so its critical value is larger than the one-tailed value at the same α.
What is it for confidence intervals?
It is the multiplier on the standard error: mean ± t* × SE.