Distribution Tables

t-Table (Student's t Distribution)

Complete t-distribution table with critical values for various degrees of freedom and significance levels. Essential for t-tests.

Interactive t-Table Calculator

Find Critical t-Value

df = n - 1 for one sample
Critical t-value (tα/2, 10)
±2.2281
Reject H₀ if |t| > 2.2281

Student’s t-Distribution Table

The t-table provides critical values for the t-distribution, used when the population standard deviation is unknown and the sample size is small.

How to Use This Table

  1. Calculate degrees of freedom: df = n - 1 (for one-sample) or df = n₁ + n₂ - 2 (for two-sample)
  2. Choose your significance level (α) and whether the test is one-tailed or two-tailed
  3. Find the intersection of df row and α column

Critical Values (Upper Tail)

This table gives t-values where P(T > t) = α (area in the upper tail).

dfα = 0.10α = 0.05α = 0.025α = 0.01α = 0.005α = 0.001
13.0786.31412.70631.82163.657318.309
21.8862.9204.3036.9659.92522.327
31.6382.3533.1824.5415.84110.215
41.5332.1322.7763.7474.6047.173
51.4762.0152.5713.3654.0325.893
61.4401.9432.4473.1433.7075.208
71.4151.8952.3652.9983.4994.785
81.3971.8602.3062.8963.3554.501
91.3831.8332.2622.8213.2504.297
101.3721.8122.2282.7643.1694.144
111.3631.7962.2012.7183.1064.025
121.3561.7822.1792.6813.0553.930
131.3501.7712.1602.6503.0123.852
141.3451.7612.1452.6242.9773.787
151.3411.7532.1312.6022.9473.733
161.3371.7462.1202.5832.9213.686
171.3331.7402.1102.5672.8983.646
181.3301.7342.1012.5522.8783.610
191.3281.7292.0932.5392.8613.579
201.3251.7252.0862.5282.8453.552
211.3231.7212.0802.5182.8313.527
221.3211.7172.0742.5082.8193.505
231.3191.7142.0692.5002.8073.485
241.3181.7112.0642.4922.7973.467
251.3161.7082.0602.4852.7873.450
261.3151.7062.0562.4792.7793.435
271.3141.7032.0522.4732.7713.421
281.3131.7012.0482.4672.7633.408
291.3111.6992.0452.4622.7563.396
301.3101.6972.0422.4572.7503.385
351.3061.6902.0302.4382.7243.340
401.3031.6842.0212.4232.7043.307
451.3011.6792.0142.4122.6903.281
501.2991.6762.0092.4032.6783.261
601.2961.6712.0002.3902.6603.232
701.2941.6671.9942.3812.6483.211
801.2921.6641.9902.3742.6393.195
901.2911.6621.9872.3692.6323.183
1001.2901.6601.9842.3642.6263.174
1201.2891.6581.9802.3582.6173.160
1.2821.6451.9602.3262.5763.090

Common Confidence Interval Values

For two-tailed tests (most common for confidence intervals):

Confidence Levelα (two-tailed)Use column
80%0.20α = 0.10
90%0.10α = 0.05
95%0.05α = 0.025
98%0.02α = 0.01
99%0.01α = 0.005

Two-Tailed Critical Values

For two-tailed tests, use these columns:

df80% CI90% CI95% CI98% CI99% CI
51.4762.0152.5713.3654.032
101.3721.8122.2282.7643.169
151.3411.7532.1312.6022.947
201.3251.7252.0862.5282.845
251.3161.7082.0602.4852.787
301.3101.6972.0422.4572.750
1.2821.6451.9602.3262.576

When to Use t vs z

Use t-distribution when:Use z-distribution when:
σ (population SD) is unknownσ (population SD) is known
Sample size is small (n < 30)Sample size is large (n ≥ 30)
Using sample SD (s)Or for proportions

Degrees of Freedom

Test TypeDegrees of Freedom
One-sample t-testdf = n - 1
Paired t-testdf = n - 1 (n = number of pairs)
Two-sample t-test (pooled)df = n₁ + n₂ - 2
Two-sample t-test (Welch’s)Complex formula (software calculated)

Example: Using the t-Table

Problem: A sample of 16 students has a mean test score of 75. Test if this differs from the population mean of 70 at α = 0.05 (two-tailed).

Solution:

  1. df = n - 1 = 16 - 1 = 15
  2. Two-tailed test at α = 0.05, use column α = 0.025
  3. Critical value: t = ±2.131
  4. If |calculated t| > 2.131, reject H₀

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