t, Chi-Square and F Distributions

Student's t Table: Critical Values of the t-Distribution

Upper-tail critical values of Student's t-distribution, for t-tests and confidence intervals when the standard deviation is estimated from the sample.

  • df 1 to 1000 and ∞
  • 11 significance levels
  • Calculator included

Student's t Table

Rows: degrees of freedom (df) · Columns: tail area α · Cells: critical value t with area α to its right

Student's t Table (t-Distribution Critical Values)
One-tailed α →0.250.20.150.10.050.0250.010.0050.00250.0010.0005
Two-tailed α →0.50.40.30.20.10.050.020.010.0050.0020.001
Confidence level →
df ↓
50%60%70%80%90%95%98%99%99.5%99.8%99.9%
11.0001.3761.9633.0786.31412.70631.82163.657127.321318.309636.619
20.8161.0611.3861.8862.9204.3036.9659.92514.08922.32731.599
30.7650.9781.2501.6382.3533.1824.5415.8417.45310.21512.924
40.7410.9411.1901.5332.1322.7763.7474.6045.5987.1738.610
50.7270.9201.1561.4762.0152.5713.3654.0324.7735.8936.869
60.7180.9061.1341.4401.9432.4473.1433.7074.3175.2085.959
70.7110.8961.1191.4151.8952.3652.9983.4994.0294.7855.408
80.7060.8891.1081.3971.8602.3062.8963.3553.8334.5015.041
90.7030.8831.1001.3831.8332.2622.8213.2503.6904.2974.781
100.7000.8791.0931.3721.8122.2282.7643.1693.5814.1444.587
110.6970.8761.0881.3631.7962.2012.7183.1063.4974.0254.437
120.6950.8731.0831.3561.7822.1792.6813.0553.4283.9304.318
130.6940.8701.0791.3501.7712.1602.6503.0123.3723.8524.221
140.6920.8681.0761.3451.7612.1452.6242.9773.3263.7874.140
150.6910.8661.0741.3411.7532.1312.6022.9473.2863.7334.073
160.6900.8651.0711.3371.7462.1202.5832.9213.2523.6864.015
170.6890.8631.0691.3331.7402.1102.5672.8983.2223.6463.965
180.6880.8621.0671.3301.7342.1012.5522.8783.1973.6103.922
190.6880.8611.0661.3281.7292.0932.5392.8613.1743.5793.883
200.6870.8601.0641.3251.7252.0862.5282.8453.1533.5523.850
210.6860.8591.0631.3231.7212.0802.5182.8313.1353.5273.819
220.6860.8581.0611.3211.7172.0742.5082.8193.1193.5053.792
230.6850.8581.0601.3191.7142.0692.5002.8073.1043.4853.768
240.6850.8571.0591.3181.7112.0642.4922.7973.0913.4673.745
250.6840.8561.0581.3161.7082.0602.4852.7873.0783.4503.725
260.6840.8561.0581.3151.7062.0562.4792.7793.0673.4353.707
270.6840.8551.0571.3141.7032.0522.4732.7713.0573.4213.690
280.6830.8551.0561.3131.7012.0482.4672.7633.0473.4083.674
290.6830.8541.0551.3111.6992.0452.4622.7563.0383.3963.659
300.6830.8541.0551.3101.6972.0422.4572.7503.0303.3853.646
350.6820.8521.0521.3061.6902.0302.4382.7242.9963.3403.591
400.6810.8511.0501.3031.6842.0212.4232.7042.9713.3073.551
450.6800.8501.0491.3011.6792.0142.4122.6902.9523.2813.520
500.6790.8491.0471.2991.6762.0092.4032.6782.9373.2613.496
600.6790.8481.0451.2961.6712.0002.3902.6602.9153.2323.460
700.6780.8471.0441.2941.6671.9942.3812.6482.8993.2113.435
800.6780.8461.0431.2921.6641.9902.3742.6392.8873.1953.416
900.6770.8461.0421.2911.6621.9872.3682.6322.8783.1833.402
1000.6770.8451.0421.2901.6601.9842.3642.6262.8713.1743.390
1200.6770.8451.0411.2891.6581.9802.3582.6172.8603.1603.373
1500.6760.8441.0401.2871.6551.9762.3512.6092.8493.1453.357
2000.6760.8431.0391.2861.6531.9722.3452.6012.8393.1313.340
5000.6750.8421.0381.2831.6481.9652.3342.5862.8203.1073.310
10000.6750.8421.0371.2821.6461.9622.3302.5812.8133.0983.300
∞0.6740.8421.0361.2821.6451.9602.3262.5762.8073.0903.291

Tip: click any value to highlight its row and column.

How to read this table

  1. Work out the degrees of freedom: n − 1 for a one-sample or paired t-test, n₁ + n₂ − 2 for a pooled two-sample t-test.
  2. Choose the column for your α. Use the two-tailed header for two-sided tests and confidence intervals, and the one-tailed header for one-sided tests.
  3. Read the critical value where the row and column meet. Reject H₀ if |t| is larger (two-sided) or if t is beyond it in the direction of the alternative (one-sided).
  4. If your df is not listed, use the next smaller df (a slightly conservative choice) or the calculator above for the exact value.

Worked example

A 95% confidence interval from a sample of n = 11 has df = 10. Row 10, two-tailed α = 0.05 gives t = 2.228, so the interval is x̄ ± 2.228 × s/√11. The z value for the same interval is 1.960: the wider t multiplier accounts for estimating the standard deviation from only 11 observations.

For a test with t = 2.50 on 15 df, row 15 shows 2.131 (two-tailed α = 0.05) and 2.602 (two-tailed α = 0.02). Because 2.50 falls between them, the two-sided p-value is between 0.02 and 0.05. The calculator above gives the exact p-value.

Click the underlined links to highlight the value in the table.

Calculator

For values between the rows and columns of the table. Results update as you type.

Formula and how the values were computed

P(Tdf > tα, df) = α

Each cell is the (1 − α) quantile of Student's t-distribution with the given df, computed in double precision and rounded to three decimals. The ∞ row is the standard normal distribution.

Frequently asked questions

Which degrees of freedom do I use?

One-sample and paired t-tests: n − 1 (for paired data, n is the number of pairs). Two-sample t-test with pooled variance: n₁ + n₂ − 2. Welch's t-test uses the Welch–Satterthwaite df, which is usually not a whole number; use the calculator.

Why do the values get closer to z as df grows?

With more data, the sample standard deviation becomes a better estimate of σ, so the t-distribution loses its heavier tails and approaches the standard normal. By df = 120 the two-tailed 5% value is 1.980, against 1.960 for z.

What if my df falls between two rows?

Using the smaller df gives a slightly larger critical value, which keeps the test conservative. For an exact value, enter your df in the calculator above; it accepts non-integer df.

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