You can easily find the p value corresponding to a t value with our . If you want to find the p value by using a table with critical t values, instructions are given below.
Finding $p$ value corresponding to $t$ value, using the table with critical $t$ values
Assuming a table with a row per degrees of freedom and a column per upper tail probability
Two sided |
$p$ value is the probability of finding the observed $t$ value or a more extreme value, given that the null hypothesis is true.
If you have found a positive $t$ value ($t \geq 0$):
![]()
If you have found a negative $t$ value ($t < 0$):
![]() |
Right sided |
$p$ value is the probability of finding the observed $t$ value or a larger value, given that the null hypothesis is true.
If you have found a positive $t$ value ($t \geq 0$):
![]()
If you have found a negative $t$ value ($t < 0$):
![]() |
Left sided |
$p$ value is the probability of finding the observed $t$ value or a smaller value, given that the null hypothesis is true.
If you have found a positive $t$ value ($t \geq 0$):
![]()
If you have found a negative $t$ value ($t < 0$):
![]() |