The interactive t table provides critical values for the Student's t-distribution, which is used in statistical inference when sample sizes are small and population standard deviation is unknown. Hover over any value in the table to see the corresponding area highlighted in the distribution chart above. The table shows critical values for right-tailed tests. For df > 100, you can approximate using the normal distribution (Z table).
Suppose you are conducting a one-tailed t-test with 12 observations (df = 11) and a significance level of α = 0.05.
qt(1 - 0.05, 11)
# [1] 1.795885For a two-tailed test with 20 observations (df = 19) and a significance level of α = 0.05 (0.025 in each tail):
qt(1 - 0.025, 19)
# [1] 2.093024The interactive t table provides critical values for the Student's t-distribution, which is used in statistical inference when sample sizes are small and population standard deviation is unknown. Hover over any value in the table to see the corresponding area highlighted in the distribution chart above. The table shows critical values for right-tailed tests. For df > 100, you can approximate using the normal distribution (Z table).
Suppose you are conducting a one-tailed t-test with 12 observations (df = 11) and a significance level of α = 0.05.
qt(1 - 0.05, 11)
# [1] 1.795885For a two-tailed test with 20 observations (df = 19) and a significance level of α = 0.05 (0.025 in each tail):
qt(1 - 0.025, 19)
# [1] 2.093024