Critical values of t
T Table: Critical Values of Student’s t Distribution
A t table for 1 to 30, 40, 50, 60, 80, 100, 120 and 1000 degrees of freedom and seven significance levels, plus a calculator for any df and α.
t* = 2.228
Two-tailed α = 0.05 (0.025 in each tail), 10 degrees of freedom. Reject the null hypothesis if |t| > 2.228.
| df | 0.1 | 0.05 | 0.025 | 0.01 | 0.005 | 0.001 | 0.0005 |
|---|---|---|---|---|---|---|---|
| Two tails | 0.2 | 0.1 | 0.05 | 0.02 | 0.01 | 0.002 | 0.001 |
| 1 | 3.078 | 6.314 | 12.706 | 31.821 | 63.657 | 318.309 | 636.619 |
| 2 | 1.886 | 2.920 | 4.303 | 6.965 | 9.925 | 22.327 | 31.599 |
| 3 | 1.638 | 2.353 | 3.182 | 4.541 | 5.841 | 10.215 | 12.924 |
| 4 | 1.533 | 2.132 | 2.776 | 3.747 | 4.604 | 7.173 | 8.610 |
| 5 | 1.476 | 2.015 | 2.571 | 3.365 | 4.032 | 5.893 | 6.869 |
| 6 | 1.440 | 1.943 | 2.447 | 3.143 | 3.707 | 5.208 | 5.959 |
| 7 | 1.415 | 1.895 | 2.365 | 2.998 | 3.499 | 4.785 | 5.408 |
| 8 | 1.397 | 1.860 | 2.306 | 2.896 | 3.355 | 4.501 | 5.041 |
| 9 | 1.383 | 1.833 | 2.262 | 2.821 | 3.250 | 4.297 | 4.781 |
| 10 | 1.372 | 1.812 | 2.228 | 2.764 | 3.169 | 4.144 | 4.587 |
| 11 | 1.363 | 1.796 | 2.201 | 2.718 | 3.106 | 4.025 | 4.437 |
| 12 | 1.356 | 1.782 | 2.179 | 2.681 | 3.055 | 3.930 | 4.318 |
| 13 | 1.350 | 1.771 | 2.160 | 2.650 | 3.012 | 3.852 | 4.221 |
| 14 | 1.345 | 1.761 | 2.145 | 2.624 | 2.977 | 3.787 | 4.140 |
| 15 | 1.341 | 1.753 | 2.131 | 2.602 | 2.947 | 3.733 | 4.073 |
| 16 | 1.337 | 1.746 | 2.120 | 2.583 | 2.921 | 3.686 | 4.015 |
| 17 | 1.333 | 1.740 | 2.110 | 2.567 | 2.898 | 3.646 | 3.965 |
| 18 | 1.330 | 1.734 | 2.101 | 2.552 | 2.878 | 3.610 | 3.922 |
| 19 | 1.328 | 1.729 | 2.093 | 2.539 | 2.861 | 3.579 | 3.883 |
| 20 | 1.325 | 1.725 | 2.086 | 2.528 | 2.845 | 3.552 | 3.850 |
| 21 | 1.323 | 1.721 | 2.080 | 2.518 | 2.831 | 3.527 | 3.819 |
| 22 | 1.321 | 1.717 | 2.074 | 2.508 | 2.819 | 3.505 | 3.792 |
| 23 | 1.319 | 1.714 | 2.069 | 2.500 | 2.807 | 3.485 | 3.768 |
| 24 | 1.318 | 1.711 | 2.064 | 2.492 | 2.797 | 3.467 | 3.745 |
| 25 | 1.316 | 1.708 | 2.060 | 2.485 | 2.787 | 3.450 | 3.725 |
| 26 | 1.315 | 1.706 | 2.056 | 2.479 | 2.779 | 3.435 | 3.707 |
| 27 | 1.314 | 1.703 | 2.052 | 2.473 | 2.771 | 3.421 | 3.690 |
| 28 | 1.313 | 1.701 | 2.048 | 2.467 | 2.763 | 3.408 | 3.674 |
| 29 | 1.311 | 1.699 | 2.045 | 2.462 | 2.756 | 3.396 | 3.659 |
| 30 | 1.310 | 1.697 | 2.042 | 2.457 | 2.750 | 3.385 | 3.646 |
| 40 | 1.303 | 1.684 | 2.021 | 2.423 | 2.704 | 3.307 | 3.551 |
| 50 | 1.299 | 1.676 | 2.009 | 2.403 | 2.678 | 3.261 | 3.496 |
| 60 | 1.296 | 1.671 | 2.000 | 2.390 | 2.660 | 3.232 | 3.460 |
| 80 | 1.292 | 1.664 | 1.990 | 2.374 | 2.639 | 3.195 | 3.416 |
| 100 | 1.290 | 1.660 | 1.984 | 2.364 | 2.626 | 3.174 | 3.390 |
| 120 | 1.289 | 1.658 | 1.980 | 2.358 | 2.617 | 3.160 | 3.373 |
| 1000 | 1.282 | 1.646 | 1.962 | 2.330 | 2.581 | 3.098 | 3.300 |
| ∞ (z) | 1.282 | 1.645 | 1.960 | 2.326 | 2.576 | 3.090 | 3.291 |
Every value is calculated in your browser from the standard normal distribution (Marsaglia’s series for Φ) and rounded to four decimals; the tables were checked cell by cell against an independent calculation. These tables give the area to the left of z. Some textbooks, including the NIST handbook, print the area from 0 to z instead, which is the left area minus 0.5 for positive z.
How to read the t table
Find the row for your degrees of freedom and the column for the area in one tail. For a two-tailed test at α = 0.05, use the 0.025 column (the second header row shows the two-tailed α). With 10 degrees of freedom the critical value is 2.228. The last row, ∞, matches the z table: 1.960 for 0.025.
Common questions
What if my degrees of freedom are not in the table?
Use the calculator above, which works for any whole number of degrees of freedom. With a printed table, a common choice is the next smaller df, which gives a slightly larger, more conservative critical value.
When do I use t instead of z?
Use t when the population standard deviation is unknown and estimated from the sample, which is most real data. As df grows, t values approach z values.
Sources and further reading
The studio notebook
A useful place to begin.
Clear steps, considered details, and ideas you can put to use.
How to Read a Z Table (Left-Tail Areas, Step by Step)
Learn to read a standard normal z table: find the row and column, get left-tail, right-tail and between-two-values areas, and handle other table layouts.
Z-Score Formula and Worked Examples
Use the z-score formula z = (x − μ) / σ, read what the sign and size mean, convert a z-score to a percentile, and handle sample means with σ/√n.
Sample vs Population Standard Deviation (n vs n − 1)
Know when to divide by n and when to divide by n − 1, with the formulas, a worked data set, the link to variance, and the mistakes that cost points.
Mean, Median and Mode: Definitions, Examples and Which to Use
Find the mean, median and mode of a data set, see how one outlier moves each one, and decide which measure of center to report for your data.
T Table vs Z Table: Which One to Use and How to Read It
Decide between the t table and z table, find degrees of freedom, read one-tailed and two-tailed columns, and see why t values approach z as df grows.
How to Read a Chi-Square Table (df, Critical Values, p-Values)
Find degrees of freedom for goodness-of-fit and independence tests, read right-tail critical values, and compare them with your chi-square statistic.