A t-table gives the critical value of Student's t for a given number of degrees of freedom and upper-tail area — the multiplier behind every confidence interval on a mean.
Each column is an upper-tail area α. For a two-tailed test at the 5% level, read the 0.025 column; for a one-tailed test at 5%, read the 0.05 column. The same numbers serve as confidence-interval multipliers: the 0.025 column is the 95% multiplier.
The values grow as df falls, which is the whole point of the t distribution — a small sample pays for its estimated standard deviation with a wider interval. By df = 1000 the column has all but converged on the z value at the foot of the table.
Every value here is computed from the same functions the app's tests use, so the table cannot disagree with the , which will also handle any value this table does not list.
| df \ α | 0.100 | 0.050 | 0.025 | 0.010 | 0.005 | 0.001 |
|---|---|---|---|---|---|---|
| 1 | 3.0777 | 6.3138 | 12.7062 | 31.8205 | 63.6567 | 318.3088 |
| 2 | 1.8856 | 2.9200 | 4.3027 | 6.9646 | 9.9248 | 22.3271 |
| 3 | 1.6377 | 2.3534 | 3.1824 | 4.5407 | 5.8409 | 10.2145 |
| 4 | 1.5332 | 2.1318 | 2.7764 | 3.7469 | 4.6041 | 7.1732 |
| 5 | 1.4759 | 2.0150 | 2.5706 | 3.3649 | 4.0321 | 5.8934 |
| 6 | 1.4398 | 1.9432 | 2.4469 | 3.1427 | 3.7074 | 5.2076 |
| 7 | 1.4149 | 1.8946 | 2.3646 | 2.9980 | 3.4995 | 4.7853 |
| 8 | 1.3968 | 1.8595 | 2.3060 | 2.8965 | 3.3554 | 4.5008 |
| 9 | 1.3830 | 1.8331 | 2.2622 | 2.8214 | 3.2498 | 4.2968 |
| 10 | 1.3722 | 1.8125 | 2.2281 | 2.7638 | 3.1693 | 4.1437 |
| 11 | 1.3634 | 1.7959 | 2.2010 | 2.7181 | 3.1058 | 4.0247 |
| 12 | 1.3562 | 1.7823 | 2.1788 | 2.6810 | 3.0545 | 3.9296 |
| 13 | 1.3502 | 1.7709 | 2.1604 | 2.6503 | 3.0123 | 3.8520 |
| 14 | 1.3450 | 1.7613 | 2.1448 | 2.6245 | 2.9768 | 3.7874 |
| 15 | 1.3406 | 1.7531 | 2.1314 | 2.6025 | 2.9467 | 3.7328 |
| 16 | 1.3368 | 1.7459 | 2.1199 | 2.5835 | 2.9208 | 3.6862 |
| 17 | 1.3334 | 1.7396 | 2.1098 | 2.5669 | 2.8982 | 3.6458 |
| 18 | 1.3304 | 1.7341 | 2.1009 | 2.5524 | 2.8784 | 3.6105 |
| 19 | 1.3277 | 1.7291 | 2.0930 | 2.5395 | 2.8609 | 3.5794 |
| 20 | 1.3253 | 1.7247 | 2.0860 | 2.5280 | 2.8453 | 3.5518 |
| 21 | 1.3232 | 1.7207 | 2.0796 | 2.5176 | 2.8314 | 3.5272 |
| 22 | 1.3212 | 1.7171 | 2.0739 | 2.5083 | 2.8188 | 3.5050 |
| 23 | 1.3195 | 1.7139 | 2.0687 | 2.4999 | 2.8073 | 3.4850 |
| 24 | 1.3178 | 1.7109 | 2.0639 | 2.4922 | 2.7969 | 3.4668 |
| 25 | 1.3163 | 1.7081 | 2.0595 | 2.4851 | 2.7874 | 3.4502 |
| 26 | 1.3150 | 1.7056 | 2.0555 | 2.4786 | 2.7787 | 3.4350 |
| 27 | 1.3137 | 1.7033 | 2.0518 | 2.4727 | 2.7707 | 3.4210 |
| 28 | 1.3125 | 1.7011 | 2.0484 | 2.4671 | 2.7633 | 3.4082 |
| 29 | 1.3114 | 1.6991 | 2.0452 | 2.4620 | 2.7564 | 3.3962 |
| 30 | 1.3104 | 1.6973 | 2.0423 | 2.4573 | 2.7500 | 3.3852 |
| 32 | 1.3086 | 1.6939 | 2.0369 | 2.4487 | 2.7385 | 3.3653 |
| 34 | 1.3070 | 1.6909 | 2.0322 | 2.4411 | 2.7284 | 3.3479 |
| 36 | 1.3055 | 1.6883 | 2.0281 | 2.4345 | 2.7195 | 3.3326 |
| 38 | 1.3042 | 1.6860 | 2.0244 | 2.4286 | 2.7116 | 3.3190 |
| 40 | 1.3031 | 1.6839 | 2.0211 | 2.4233 | 2.7045 | 3.3069 |
| 45 | 1.3006 | 1.6794 | 2.0141 | 2.4121 | 2.6896 | 3.2815 |
| 50 | 1.2987 | 1.6759 | 2.0086 | 2.4033 | 2.6778 | 3.2614 |
| 60 | 1.2958 | 1.6706 | 2.0003 | 2.3901 | 2.6603 | 3.2317 |
| 70 | 1.2938 | 1.6669 | 1.9944 | 2.3808 | 2.6479 | 3.2108 |
| 80 | 1.2922 | 1.6641 | 1.9901 | 2.3739 | 2.6387 | 3.1953 |
| 90 | 1.2910 | 1.6620 | 1.9867 | 2.3685 | 2.6316 | 3.1833 |
| 100 | 1.2901 | 1.6602 | 1.9840 | 2.3642 | 2.6259 | 3.1737 |
| 120 | 1.2886 | 1.6577 | 1.9799 | 2.3578 | 2.6174 | 3.1595 |
| 200 | 1.2858 | 1.6525 | 1.9719 | 2.3451 | 2.6006 | 3.1315 |
| 500 | 1.2832 | 1.6479 | 1.9647 | 2.3338 | 2.5857 | 3.1066 |
| 1000 | 1.2824 | 1.6464 | 1.9623 | 2.3301 | 2.5808 | 3.0984 |
| ∞ (z) | 1.2816 | 1.6449 | 1.9600 | 2.3263 | 2.5758 | 3.0902 |