T table — critical values of the t distribution
Degrees of freedom down the side, significance level across the top — with both the one-tailed and the two-tailed label above each column, because that is where the reading goes wrong. At df 10 the two-tailed 5% value is 2.228 and the one-tailed 5% value is 1.812, and they sit in different columns.
Values are computed from the distribution at build time rather than transcribed, by the same function behind the p-value calculator.
Values checked against the NIST e-Handbook t table · How we check
Upper critical values of t
| df | One-tailed α | |||||
|---|---|---|---|---|---|---|
| 0.1 | 0.05 | 0.025 | 0.01 | 0.005 | 0.0005 | |
| two-tailed α | 0.2 | 0.1 | 0.05 | 0.02 | 0.01 | 0.001 |
| 1 | 3.078 | 6.314 | 12.706 | 31.821 | 63.657 | 636.619 |
| 2 | 1.886 | 2.920 | 4.303 | 6.965 | 9.925 | 31.599 |
| 3 | 1.638 | 2.353 | 3.182 | 4.541 | 5.841 | 12.924 |
| 4 | 1.533 | 2.132 | 2.776 | 3.747 | 4.604 | 8.610 |
| 5 | 1.476 | 2.015 | 2.571 | 3.365 | 4.032 | 6.869 |
| 6 | 1.440 | 1.943 | 2.447 | 3.143 | 3.707 | 5.959 |
| 7 | 1.415 | 1.895 | 2.365 | 2.998 | 3.499 | 5.408 |
| 8 | 1.397 | 1.860 | 2.306 | 2.896 | 3.355 | 5.041 |
| 9 | 1.383 | 1.833 | 2.262 | 2.821 | 3.250 | 4.781 |
| 10 | 1.372 | 1.812 | 2.228 | 2.764 | 3.169 | 4.587 |
| 11 | 1.363 | 1.796 | 2.201 | 2.718 | 3.106 | 4.437 |
| 12 | 1.356 | 1.782 | 2.179 | 2.681 | 3.055 | 4.318 |
| 13 | 1.350 | 1.771 | 2.160 | 2.650 | 3.012 | 4.221 |
| 14 | 1.345 | 1.761 | 2.145 | 2.624 | 2.977 | 4.140 |
| 15 | 1.341 | 1.753 | 2.131 | 2.602 | 2.947 | 4.073 |
| 16 | 1.337 | 1.746 | 2.120 | 2.583 | 2.921 | 4.015 |
| 17 | 1.333 | 1.740 | 2.110 | 2.567 | 2.898 | 3.965 |
| 18 | 1.330 | 1.734 | 2.101 | 2.552 | 2.878 | 3.922 |
| 19 | 1.328 | 1.729 | 2.093 | 2.539 | 2.861 | 3.883 |
| 20 | 1.325 | 1.725 | 2.086 | 2.528 | 2.845 | 3.850 |
| 21 | 1.323 | 1.721 | 2.080 | 2.518 | 2.831 | 3.819 |
| 22 | 1.321 | 1.717 | 2.074 | 2.508 | 2.819 | 3.792 |
| 23 | 1.319 | 1.714 | 2.069 | 2.500 | 2.807 | 3.768 |
| 24 | 1.318 | 1.711 | 2.064 | 2.492 | 2.797 | 3.745 |
| 25 | 1.316 | 1.708 | 2.060 | 2.485 | 2.787 | 3.725 |
| 26 | 1.315 | 1.706 | 2.056 | 2.479 | 2.779 | 3.707 |
| 27 | 1.314 | 1.703 | 2.052 | 2.473 | 2.771 | 3.690 |
| 28 | 1.313 | 1.701 | 2.048 | 2.467 | 2.763 | 3.674 |
| 29 | 1.311 | 1.699 | 2.045 | 2.462 | 2.756 | 3.659 |
| 30 | 1.310 | 1.697 | 2.042 | 2.457 | 2.750 | 3.646 |
| 32 | 1.309 | 1.694 | 2.037 | 2.449 | 2.738 | 3.622 |
| 34 | 1.307 | 1.691 | 2.032 | 2.441 | 2.728 | 3.601 |
| 36 | 1.306 | 1.688 | 2.028 | 2.434 | 2.719 | 3.582 |
| 38 | 1.304 | 1.686 | 2.024 | 2.429 | 2.712 | 3.566 |
| 40 | 1.303 | 1.684 | 2.021 | 2.423 | 2.704 | 3.551 |
| 50 | 1.299 | 1.676 | 2.009 | 2.403 | 2.678 | 3.496 |
| 60 | 1.296 | 1.671 | 2.000 | 2.390 | 2.660 | 3.460 |
| 80 | 1.292 | 1.664 | 1.990 | 2.374 | 2.639 | 3.416 |
| 100 | 1.290 | 1.660 | 1.984 | 2.364 | 2.626 | 3.390 |
| 120 | 1.289 | 1.658 | 1.980 | 2.358 | 2.617 | 3.373 |
| ∞ (z) | 1.282 | 1.645 | 1.960 | 2.326 | 2.576 | 3.291 |
The last row is the normal distribution, which is what t becomes once the sample is large enough that the estimated standard deviation stops mattering. Compare any column against it to see how much a small sample costs: at df 5 the two-tailed 5% value is 2.571 against 1.960.
Questions people actually ask
- How do you read a t table?
- Find the row for your degrees of freedom and the column for your significance level, then check which header applies. With 10 degrees of freedom and a two-tailed test at 0.05, the value is 2.228. The same column is 0.025 one-tailed, which is why both labels sit above it here.
- What are degrees of freedom in a t test?
- For a one-sample test, the sample size minus one: 20 observations give df 19. For a two-sample test with equal variances, the two sample sizes added and 2 subtracted. The subtraction is there because the sample mean was estimated from the same data, which uses up one piece of information.
- Why does the table stop and say infinity?
- Because past about 120 degrees of freedom the t distribution is indistinguishable from the normal at the printed precision. The infinity row is the normal distribution: 1.960 two-tailed at 5%, the number every confidence interval uses.
- One tailed or two tailed?
- Two-tailed unless the hypothesis names a direction before the data is collected. "Does the treatment change the outcome" is two-tailed; "does it increase the outcome, and a decrease would be reported as no effect" is one-tailed. Choosing one-tailed after seeing which way the data went halves the p-value for free and is the most common way a result is talked into significance.
- Why is t larger than z?
- Because the standard deviation was estimated rather than known, and that estimate carries its own error. The t distribution has fatter tails to pay for it, so the interval is wider. At df 5 the two-tailed 5% value is 2.571 against 1.960 — 31% wider — and the gap closes as the sample grows.
- What is the critical value for a 95% confidence interval?
- The two-tailed 0.05 column. With 24 degrees of freedom that is 2.064, so the interval is the mean plus or minus 2.064 standard errors. Using 1.96 there instead makes the interval 5% too narrow, which is small on one estimate and systematic across a paper.
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